diff --git a/.gitignore b/.gitignore index 4c6c55a..c0ba8da 100644 --- a/.gitignore +++ b/.gitignore @@ -1,5 +1,6 @@ demo-python/data/images/apples/output.jsonl demo-python/data/docVectors-e5.json +demo-python/output/* ## Ignore Visual Studio temporary files, build results, and ## files generated by popular Visual Studio add-ons. diff --git a/demo-python/code/.env-sample b/demo-python/code/.env-sample index e653686..37a90c7 100644 --- a/demo-python/code/.env-sample +++ b/demo-python/code/.env-sample @@ -23,9 +23,12 @@ AZURE_OPENAI_ENDPOINT=your-openai-endpoint AZURE_OPENAI_KEY= AZURE_OPENAI_EMBEDDING_DEPLOYMENT=text-embedding-ada-002 -# Used for azure-search-vector-python-langchain-sample +# Used for azure-search-vector-python-sample, azure-search-vector-python-langchain-sample AZURE_OPENAI_API_VERSION=2023-12-01-preview +# Used for azure-search-vector-python-sample +AZURE_OPENAI_EMBEDDING_MODEL_NAME=text-embedding-ada-002 + # Used for azure-search-vector-image-index-creation-python-sample AZURE_AI_VISION_KEY=your-vision-key AZURE_AI_VISION_ENDPOINT=https://your-vision-endpoint.cognitiveservices.azure.com diff --git a/demo-python/code/azure-search-vector-python-sample-requirements.txt b/demo-python/code/azure-search-vector-python-sample-requirements.txt new file mode 100644 index 0000000..91282d7 --- /dev/null +++ b/demo-python/code/azure-search-vector-python-sample-requirements.txt @@ -0,0 +1,4 @@ +python-dotenv +azure-search-documents==11.6.0b1 +azure-identity +openai diff --git a/demo-python/code/azure-search-vector-python-sample.ipynb b/demo-python/code/azure-search-vector-python-sample.ipynb index 5ad4221..3fcc420 100644 --- a/demo-python/code/azure-search-vector-python-sample.ipynb +++ b/demo-python/code/azure-search-vector-python-sample.ipynb @@ -27,42 +27,47 @@ "- Azure OpenAI connection and model information:\n", " - OpenAI API key\n", " - OpenAI embedding model deployment name (We used the same name as the model, \"text-embedding-ada-002\")\n", - " - OpenAI API version (`2023-05-15`)\n", - "\n", - "## Create an environment (.env)\n", - "\n", - "This file must be in the same directory as the code and include the following variables:\n", - "\n", - " ```plaintext\n", - " AZURE_SEARCH_SERVICE_ENDPOINT=YOUR-SEARCH-SERVICE-ENDPOINT\n", - " AZURE_SEARCH_INDEX_NAME=YOUR-SEARCH-SERVICE-INDEX-NAME\n", - " AZURE_SEARCH_ADMIN_KEY=YOUR-SEARCH-SERVICE-ADMIN-KEY\n", - " AZURE_OPENAI_ENDPOINT=YOUR-OPENAI-ENDPOINT\n", - " AZURE_OPENAI_API_KEY=YOUR-OPENAI-API-KEY\n", - " AZURE_OPENAI_API_VERSION=YOUR-OPENAI-API-VERSION\n", - " AZURE_OPENAI_EMBEDDING_DEPLOYED_MODEL=YOUR-OPENAI-EMBEDDING-DEPLOYED-MODEL\n", - " AZURE_AI_VISION_API_KEY=YOUR-AZURE_AI_SERVICES-API-KEY\n", - " AZURE_AI_VISION_ENDPOINT=YOUR-COGNITIVE-SERVICES-ENDPOINT\n", - " AZURE_AI_VISION_MODEL_VERSION=YOUR-AZURE_AI_SERVICES-MODEL-VERSION\n", - " AZURE_AI_VISION_REGION=YOUR-AZURE_AI_SERVICES-REGION\n", - " BLOB_CONNECTION_STRING=YOUR-BLOB-CONNECTION-STRING\n", - " BLOB_CONTAINER_NAME=YOUR-BLOB-CONTAINER-NAME\n", - " ```\n", + " - OpenAI API version (`2023-05-15`)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Set up a Python virtual environment in Visual Studio Code\n", "\n", - "## Install packages\n", + "1. Open the Command Palette (Ctrl+Shift+P).\n", + "1. Search for **Python: Create Environment**.\n", + "1. Select **Venv**.\n", + "1. Select a Python interpreter. Choose 3.10 or later.\n", "\n", - "To run the code, install the following packages. Please use the latest stable version by running `pip install azure-search-documents`. This sample currently uses version `11.4.0` and openai version `1.3.3`." + "It can take a minute to set up. If you run into problems, see [Python environments in VS Code](https://code.visualstudio.com/docs/python/environments)." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Install packages" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\n", + "[notice] A new release of pip is available: 23.2.1 -> 24.0\n", + "[notice] To update, run: python.exe -m pip install --upgrade pip\n" + ] + } + ], "source": [ - "! pip install azure-search-documents \n", - "! pip install openai \n", - "! pip install python-dotenv" + "! pip install -r azure-search-vector-python-sample-requirements.txt --quiet" ] }, { @@ -75,85 +80,27 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 9, "metadata": {}, "outputs": [], "source": [ - "# Import required libraries \n", - "import os \n", - "import json \n", - "import openai\n", - "from openai import AzureOpenAI\n", - "from dotenv import load_dotenv \n", - "from tenacity import retry, wait_random_exponential, stop_after_attempt \n", - "from azure.core.credentials import AzureKeyCredential \n", - "from azure.search.documents import SearchClient, SearchIndexingBufferedSender \n", - "from azure.search.documents.indexes import SearchIndexClient \n", - "from azure.search.documents.models import (\n", - " QueryAnswerType,\n", - " QueryCaptionType,\n", - " QueryCaptionResult,\n", - " QueryAnswerResult,\n", - " SemanticErrorMode,\n", - " SemanticErrorReason,\n", - " SemanticSearchResultsType,\n", - " QueryType,\n", - " VectorizedQuery,\n", - " VectorQuery,\n", - " VectorFilterMode, \n", - ")\n", - "from azure.search.documents.indexes.models import ( \n", - " ExhaustiveKnnAlgorithmConfiguration,\n", - " ExhaustiveKnnParameters,\n", - " SearchIndex, \n", - " SearchField, \n", - " SearchFieldDataType, \n", - " SimpleField, \n", - " SearchableField, \n", - " SearchIndex, \n", - " SemanticConfiguration, \n", - " SemanticPrioritizedFields,\n", - " SemanticField, \n", - " SearchField, \n", - " SemanticSearch,\n", - " VectorSearch, \n", - " HnswAlgorithmConfiguration,\n", - " HnswParameters, \n", - " VectorSearch,\n", - " VectorSearchAlgorithmConfiguration,\n", - " VectorSearchAlgorithmKind,\n", - " VectorSearchProfile,\n", - " SearchIndex,\n", - " SearchField,\n", - " SearchFieldDataType,\n", - " SimpleField,\n", - " SearchableField,\n", - " VectorSearch,\n", - " ExhaustiveKnnParameters,\n", - " SearchIndex, \n", - " SearchField, \n", - " SearchFieldDataType, \n", - " SimpleField, \n", - " SearchableField, \n", - " SearchIndex, \n", - " SemanticConfiguration, \n", - " SemanticField, \n", - " SearchField, \n", - " VectorSearch, \n", - " HnswParameters, \n", - " VectorSearch,\n", - " VectorSearchAlgorithmKind,\n", - " VectorSearchAlgorithmMetric,\n", - " VectorSearchProfile,\n", - ") \n", - " \n", - "# Configure environment variables \n", - "load_dotenv() \n", - "service_endpoint = os.getenv(\"AZURE_SEARCH_SERVICE_ENDPOINT\") \n", - "index_name = os.getenv(\"AZURE_SEARCH_INDEX_NAME\") \n", - "key = os.getenv(\"AZURE_SEARCH_ADMIN_KEY\") \n", - "model: str = \"text-embedding-ada-002\" \n", - "credential = AzureKeyCredential(key)" + "from dotenv import load_dotenv\n", + "from azure.identity import DefaultAzureCredential\n", + "import os\n", + "\n", + "load_dotenv(override=True) # take environment variables from .env.\n", + "\n", + "# Variables not used here do not need to be updated in your .env file\n", + "endpoint = os.environ[\"AZURE_SEARCH_SERVICE_ENDPOINT\"]\n", + "key_credential = os.environ[\"AZURE_SEARCH_ADMIN_KEY\"] if len(os.environ[\"AZURE_SEARCH_ADMIN_KEY\"]) > 0 else None\n", + "index_name = os.environ[\"AZURE_SEARCH_INDEX\"]\n", + "azure_openai_endpoint = os.environ[\"AZURE_OPENAI_ENDPOINT\"]\n", + "azure_openai_key = os.environ[\"AZURE_OPENAI_KEY\"] if len(os.environ[\"AZURE_OPENAI_KEY\"]) > 0 else None\n", + "azure_openai_embedding_deployment = os.environ[\"AZURE_OPENAI_EMBEDDING_DEPLOYMENT\"]\n", + "embedding_model_name = os.environ[\"AZURE_OPENAI_EMBEDDING_MODEL_NAME\"]\n", + "azure_openai_api_version = os.environ[\"AZURE_OPENAI_API_VERSION\"]\n", + "\n", + "credential = key_credential or DefaultAzureCredential()" ] }, { @@ -167,37 +114,48 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ + "from openai import AzureOpenAI\n", + "from azure.identity import DefaultAzureCredential, get_bearer_token_provider\n", + "import json\n", + "\n", + "openai_credential = DefaultAzureCredential()\n", + "token_provider = get_bearer_token_provider(openai_credential, \"https://cognitiveservices.azure.com/.default\")\n", + "\n", "client = AzureOpenAI(\n", - " api_key = os.getenv(\"AZURE_OPENAI_API_KEY\"), \n", - " api_version = \"2023-05-15\",\n", - " azure_endpoint = os.getenv(\"AZURE_OPENAI_ENDPOINT\")\n", + " azure_deployment=azure_openai_embedding_deployment,\n", + " api_version=azure_openai_api_version,\n", + " azure_endpoint=azure_openai_endpoint,\n", + " api_key=azure_openai_key,\n", + " azure_ad_token_provider=token_provider if not azure_openai_key else None\n", ")\n", "\n", "# Generate Document Embeddings using OpenAI Ada 002\n", "# Read the text-sample.json\n", - "with open('../data/text-sample.json', 'r', encoding='utf-8') as file:\n", + "path = os.path.join('..', 'data', 'text-sample.json')\n", + "with open(path, 'r', encoding='utf-8') as file:\n", " input_data = json.load(file)\n", "\n", - "@retry(wait=wait_random_exponential(min=1, max=20), stop=stop_after_attempt(6))\n", - "# Function to generate embeddings for title and content fields, also used for query embeddings\n", - "def generate_embeddings(text, model=model):\n", - " return client.embeddings.create(input = [text], model=model).data[0].embedding\n", + "titles = [item['title'] for item in input_data]\n", + "content = [item['content'] for item in input_data]\n", + "title_response = client.embeddings.create(input=titles, model=embedding_model_name)\n", + "title_embeddings = [item.embedding for item in title_response.data]\n", + "content_response = client.embeddings.create(input=content, model=embedding_model_name)\n", + "content_embeddings = [item.embedding for item in content_response.data]\n", "\n", "# Generate embeddings for title and content fields\n", - "for item in input_data:\n", + "for i, item in enumerate(input_data):\n", " title = item['title']\n", " content = item['content']\n", - " title_embeddings = generate_embeddings(title)\n", - " content_embeddings = generate_embeddings(content)\n", - " item['titleVector'] = title_embeddings\n", - " item['contentVector'] = content_embeddings\n", + " item['titleVector'] = title_embeddings[i]\n", + " item['contentVector'] = content_embeddings[i]\n", "\n", "# Output embeddings to docVectors.json file\n", - "with open(\"../output/docVectors.json\", \"w\") as f:\n", + "output_path = os.path.join('..', 'output', 'docVectors.json')\n", + "with open(output_path, \"w\") as f:\n", " json.dump(input_data, f)" ] }, @@ -212,21 +170,38 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 10, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - " python-vector-demo created\n" + " sample created\n" ] } ], "source": [ + "from azure.search.documents.indexes import SearchIndexClient\n", + "from azure.search.documents.indexes.models import (\n", + " SimpleField,\n", + " SearchFieldDataType,\n", + " SearchableField,\n", + " SearchField,\n", + " VectorSearch,\n", + " HnswAlgorithmConfiguration,\n", + " VectorSearchProfile,\n", + " SemanticConfiguration,\n", + " SemanticPrioritizedFields,\n", + " SemanticField,\n", + " SemanticSearch,\n", + " SearchIndex\n", + ")\n", + "\n", + "\n", "# Create a search index\n", "index_client = SearchIndexClient(\n", - " endpoint=service_endpoint, credential=credential)\n", + " endpoint=endpoint, credential=credential)\n", "fields = [\n", " SimpleField(name=\"id\", type=SearchFieldDataType.String, key=True, sortable=True, filterable=True, facetable=True),\n", " SearchableField(name=\"title\", type=SearchFieldDataType.String),\n", @@ -243,31 +218,13 @@ "vector_search = VectorSearch(\n", " algorithms=[\n", " HnswAlgorithmConfiguration(\n", - " name=\"myHnsw\",\n", - " kind=VectorSearchAlgorithmKind.HNSW,\n", - " parameters=HnswParameters(\n", - " m=4,\n", - " ef_construction=400,\n", - " ef_search=500,\n", - " metric=VectorSearchAlgorithmMetric.COSINE\n", - " )\n", - " ),\n", - " ExhaustiveKnnAlgorithmConfiguration(\n", - " name=\"myExhaustiveKnn\",\n", - " kind=VectorSearchAlgorithmKind.EXHAUSTIVE_KNN,\n", - " parameters=ExhaustiveKnnParameters(\n", - " metric=VectorSearchAlgorithmMetric.COSINE\n", - " )\n", + " name=\"myHnsw\"\n", " )\n", " ],\n", " profiles=[\n", " VectorSearchProfile(\n", " name=\"myHnswProfile\",\n", " algorithm_configuration_name=\"myHnsw\",\n", - " ),\n", - " VectorSearchProfile(\n", - " name=\"myExhaustiveKnnProfile\",\n", - " algorithm_configuration_name=\"myExhaustiveKnn\",\n", " )\n", " ]\n", ")\n", @@ -304,7 +261,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 11, "metadata": {}, "outputs": [ { @@ -316,10 +273,13 @@ } ], "source": [ + "from azure.search.documents import SearchClient\n", + "\n", "# Upload some documents to the index\n", - "with open('../output/docVectors.json', 'r') as file: \n", + "output_path = os.path.join('..', 'output', 'docVectors.json')\n", + "with open(output_path, 'r') as file: \n", " documents = json.load(file) \n", - "search_client = SearchClient(endpoint=service_endpoint, index_name=index_name, credential=credential)\n", + "search_client = SearchClient(endpoint=endpoint, index_name=index_name, credential=credential)\n", "result = search_client.upload_documents(documents)\n", "print(f\"Uploaded {len(documents)} documents\") " ] @@ -333,7 +293,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 12, "metadata": {}, "outputs": [ { @@ -345,13 +305,15 @@ } ], "source": [ + "from azure.search.documents import SearchIndexingBufferedSender\n", + "\n", "# Upload some documents to the index \n", - "with open('../output/docVectors.json', 'r') as file: \n", + "with open(output_path, 'r') as file: \n", " documents = json.load(file) \n", " \n", "# Use SearchIndexingBufferedSender to upload the documents in batches optimized for indexing \n", "with SearchIndexingBufferedSender( \n", - " endpoint=service_endpoint, \n", + " endpoint=endpoint, \n", " index_name=index_name, \n", " credential=credential, \n", ") as batch_client: \n", @@ -377,7 +339,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 13, "metadata": {}, "outputs": [ { @@ -385,17 +347,17 @@ "output_type": "stream", "text": [ "Title: Azure DevOps\n", - "Score: 0.82971567\n", + "Score: 0.829716\n", "Content: Azure DevOps is a suite of services that help you plan, build, and deploy applications. It includes Azure Boards for work item tracking, Azure Repos for source code management, Azure Pipelines for continuous integration and continuous deployment, Azure Test Plans for manual and automated testing, and Azure Artifacts for package management. DevOps supports a wide range of programming languages, frameworks, and platforms, making it easy to integrate with your existing development tools and processes. It also integrates with other Azure services, such as Azure App Service and Azure Functions.\n", "Category: Developer Tools\n", "\n", "Title: Azure DevTest Labs\n", - "Score: 0.81866795\n", + "Score: 0.8186153\n", "Content: Azure DevTest Labs is a fully managed service that enables you to create, manage, and share development and test environments in Azure. It provides features like custom templates, cost management, and integration with Azure DevOps. DevTest Labs supports various platforms, such as Windows, Linux, and Kubernetes. You can use Azure DevTest Labs to improve your application development lifecycle, reduce your costs, and ensure the consistency of your environments. It also integrates with other Azure services, such as Azure Virtual Machines and Azure App Service.\n", "Category: Developer Tools\n", "\n", "Title: Azure Application Insights\n", - "Score: 0.8022945\n", + "Score: 0.8022252\n", "Content: Azure Application Insights is an application performance management service that enables you to monitor, diagnose, and troubleshoot your applications and infrastructure. It provides features like real-time telemetry, dependency mapping, and live metrics. Application Insights supports various platforms, such as .NET, Java, Node.js, and Python. You can use Azure Application Insights to detect and diagnose issues, optimize your performance, and ensure the availability of your applications. It also integrates with other Azure services, such as Azure Monitor and Azure Log Analytics.\n", "Category: Management + Governance\n", "\n" @@ -403,11 +365,13 @@ } ], "source": [ + "from azure.search.documents.models import VectorizedQuery\n", + "\n", "# Pure Vector Search\n", "query = \"tools for software development\" \n", " \n", - "search_client = SearchClient(service_endpoint, index_name, credential=credential)\n", - "vector_query = VectorizedQuery(vector=generate_embeddings(query), k_nearest_neighbors=3, fields=\"contentVector\")\n", + "embedding = client.embeddings.create(input=query, model=embedding_model_name).data[0].embedding\n", + "vector_query = VectorizedQuery(vector=embedding, k_nearest_neighbors=3, fields=\"contentVector\")\n", " \n", "results = search_client.search( \n", " search_text=None, \n", @@ -431,7 +395,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 14, "metadata": {}, "outputs": [ { @@ -439,17 +403,17 @@ "output_type": "stream", "text": [ "Title: Azure DevOps\n", - "Score: 0.80402017\n", + "Score: 0.80402035\n", "Content: Azure DevOps is a suite of services that help you plan, build, and deploy applications. It includes Azure Boards for work item tracking, Azure Repos for source code management, Azure Pipelines for continuous integration and continuous deployment, Azure Test Plans for manual and automated testing, and Azure Artifacts for package management. DevOps supports a wide range of programming languages, frameworks, and platforms, making it easy to integrate with your existing development tools and processes. It also integrates with other Azure services, such as Azure App Service and Azure Functions.\n", "Category: Developer Tools\n", "\n", "Title: Azure DevTest Labs\n", - "Score: 0.7967943\n", + "Score: 0.79675704\n", "Content: Azure DevTest Labs is a fully managed service that enables you to create, manage, and share development and test environments in Azure. It provides features like custom templates, cost management, and integration with Azure DevOps. DevTest Labs supports various platforms, such as Windows, Linux, and Kubernetes. You can use Azure DevTest Labs to improve your application development lifecycle, reduce your costs, and ensure the consistency of your environments. It also integrates with other Azure services, such as Azure Virtual Machines and Azure App Service.\n", "Category: Developer Tools\n", "\n", "Title: Azure Mobile Apps\n", - "Score: 0.79512894\n", + "Score: 0.79513204\n", "Content: Azure Mobile Apps is a mobile app development platform that enables you to build, test, deploy, and monitor your mobile applications. It provides features like offline data sync, push notifications, and user authentication. Mobile Apps supports various platforms, including iOS, Android, and Windows. You can use Mobile Apps to build cross-platform applications, integrate with other Azure services, and improve your app development lifecycle. It also integrates with other Azure services, such as Azure Notification Hubs and Azure App Service.\n", "Category: Mobile\n", "\n" @@ -460,9 +424,9 @@ "# Pure Vector Search multi-lingual (e.g 'tools for software development' in Dutch) \n", "query = \"tools voor softwareontwikkeling\" \n", " \n", - "search_client = SearchClient(service_endpoint, index_name, credential=credential)\n", - "vector_query = VectorizedQuery(vector=generate_embeddings(query), k_nearest_neighbors=3, fields=\"contentVector\")\n", - " \n", + "embedding = client.embeddings.create(input=query, model=embedding_model_name).data[0].embedding\n", + "vector_query = VectorizedQuery(vector=embedding, k_nearest_neighbors=3, fields=\"contentVector\")\n", + "\n", "results = search_client.search( \n", " search_text=None, \n", " vector_queries= [vector_query],\n", @@ -493,7 +457,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 18, "metadata": {}, "outputs": [ { @@ -506,12 +470,12 @@ "Category: Developer Tools\n", "\n", "Title: Azure DevTest Labs\n", - "Score: 0.8186685\n", + "Score: 0.81861484\n", "Content: Azure DevTest Labs is a fully managed service that enables you to create, manage, and share development and test environments in Azure. It provides features like custom templates, cost management, and integration with Azure DevOps. DevTest Labs supports various platforms, such as Windows, Linux, and Kubernetes. You can use Azure DevTest Labs to improve your application development lifecycle, reduce your costs, and ensure the consistency of your environments. It also integrates with other Azure services, such as Azure Virtual Machines and Azure App Service.\n", "Category: Developer Tools\n", "\n", "Title: Azure Application Insights\n", - "Score: 0.8022949\n", + "Score: 0.8022248\n", "Content: Azure Application Insights is an application performance management service that enables you to monitor, diagnose, and troubleshoot your applications and infrastructure. It provides features like real-time telemetry, dependency mapping, and live metrics. Application Insights supports various platforms, such as .NET, Java, Node.js, and Python. You can use Azure Application Insights to detect and diagnose issues, optimize your performance, and ensure the availability of your applications. It also integrates with other Azure services, such as Azure Monitor and Azure Log Analytics.\n", "Category: Management + Governance\n", "\n" @@ -522,8 +486,8 @@ "# Pure Vector Search\n", "query = \"tools for software development\" \n", " \n", - "search_client = SearchClient(service_endpoint, index_name, credential=credential)\n", - "vector_query = VectorizedQuery(vector=generate_embeddings(query), k_nearest_neighbors=3, fields=\"contentVector\", exhaustive=True)\n", + "embedding = client.embeddings.create(input=query, model=embedding_model_name).data[0].embedding\n", + "vector_query = VectorizedQuery(vector=embedding, k_nearest_neighbors=3, fields=\"contentVector\", exhaustive=True)\n", " \n", "results = search_client.search( \n", " search_text=None, \n", @@ -549,7 +513,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 16, "metadata": {}, "outputs": [ { @@ -583,11 +547,9 @@ "# Pure Vector Search\n", "query = \"tools for software development\" \n", " \n", - "search_client = SearchClient(service_endpoint, index_name, credential=credential)\n", - "vector_query = VectorizedQuery(vector=generate_embeddings(query), k_nearest_neighbors=3, fields=\"contentVector, titleVector\")\n", - "# Use the below query to pass in the raw vector query instead of the query vectorization\n", - "# vector_query = RawVectorQuery(vector=generate_embeddings(query), k=3, fields=\"titleVector, contentVector\")\n", - " \n", + "embedding = client.embeddings.create(input=query, model=embedding_model_name).data[0].embedding\n", + "vector_query = VectorizedQuery(vector=embedding, k_nearest_neighbors=3, fields=\"contentVector, titleVector\")\n", + "\n", "results = search_client.search( \n", " search_text=None, \n", " vector_queries= [vector_query],\n", @@ -612,7 +574,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 17, "metadata": {}, "outputs": [ { @@ -646,10 +608,11 @@ "# Multi-Vector Search\n", "query = \"tools for software development\" \n", " \n", - "search_client = SearchClient(service_endpoint, index_name, credential=credential) \n", - "vector_query_1 = VectorizedQuery(vector=generate_embeddings(query), k_nearest_neighbors=3, fields=\"titleVector\")\n", - "vector_query_2 = VectorizedQuery(vector=generate_embeddings(query), k_nearest_neighbors=3, fields=\"contentVector\")\n", - " \n", + "\n", + "embedding = client.embeddings.create(input=query, model=embedding_model_name).data[0].embedding\n", + "vector_query_1 = VectorizedQuery(vector=embedding, k_nearest_neighbors=3, fields=\"titleVector\")\n", + "vector_query_2 = VectorizedQuery(vector=embedding, k_nearest_neighbors=3, fields=\"contentVector\")\n", + "\n", "results = search_client.search( \n", " search_text=None, \n", " vector_queries=[vector_query_1, vector_query_2],\n", @@ -674,7 +637,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 20, "metadata": {}, "outputs": [ { @@ -687,12 +650,12 @@ "Category: Developer Tools\n", "\n", "Title: Azure DevTest Labs\n", - "Score: 0.8186685\n", + "Score: 0.81861484\n", "Content: Azure DevTest Labs is a fully managed service that enables you to create, manage, and share development and test environments in Azure. It provides features like custom templates, cost management, and integration with Azure DevOps. DevTest Labs supports various platforms, such as Windows, Linux, and Kubernetes. You can use Azure DevTest Labs to improve your application development lifecycle, reduce your costs, and ensure the consistency of your environments. It also integrates with other Azure services, such as Azure Virtual Machines and Azure App Service.\n", "Category: Developer Tools\n", "\n", "Title: Azure App Configuration\n", - "Score: 0.7889983\n", + "Score: 0.78897005\n", "Content: Azure App Configuration is a fully managed configuration service that enables you to centrally manage and distribute your application settings and feature flags. It provides features like key-value storage, versioning, and access control. App Configuration supports various platforms, such as .NET, Java, Node.js, and Python. You can use Azure App Configuration to build and deploy your applications, ensure the consistency of your settings, and improve your application lifecycle. It also integrates with other Azure services, such as Azure App Service and Azure Functions.\n", "Category: Developer Tools\n", "\n" @@ -700,13 +663,14 @@ } ], "source": [ + "from azure.search.documents.models import VectorFilterMode\n", + "\n", "# Pure Vector Search\n", "query = \"tools for software development\" \n", " \n", - "search_client = SearchClient(service_endpoint, index_name, credential=credential)\n", - " \n", - "vector_query = VectorizedQuery(vector=generate_embeddings(query), k_nearest_neighbors=3, fields=\"contentVector\")\n", - " \n", + "embedding = client.embeddings.create(input=query, model=embedding_model_name).data[0].embedding\n", + "vector_query = VectorizedQuery(vector=embedding, k_nearest_neighbors=3, fields=\"contentVector\")\n", + "\n", "results = search_client.search( \n", " search_text=None, \n", " vector_queries= [vector_query],\n", @@ -732,7 +696,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 21, "metadata": {}, "outputs": [ { @@ -761,8 +725,8 @@ "# Hybrid Search\n", "query = \"scalable storage solution\" \n", " \n", - "search_client = SearchClient(service_endpoint, index_name, AzureKeyCredential(key)) \n", - "vector_query = VectorizedQuery(vector=generate_embeddings(query), k_nearest_neighbors=3, fields=\"contentVector\")\n", + "embedding = client.embeddings.create(input=query, model=embedding_model_name).data[0].embedding\n", + "vector_query = VectorizedQuery(vector=embedding, k_nearest_neighbors=3, fields=\"contentVector\")\n", "\n", "results = search_client.search( \n", " search_text=query, \n", @@ -788,7 +752,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 24, "metadata": {}, "outputs": [ { @@ -820,11 +784,13 @@ } ], "source": [ + "from azure.search.documents.models import QueryType, QueryCaptionType, QueryAnswerType\n", + "\n", "# Semantic Hybrid Search\n", "query = \"what is azure sarch?\"\n", "\n", - "search_client = SearchClient(service_endpoint, index_name, AzureKeyCredential(key))\n", - "vector_query = VectorizedQuery(vector=generate_embeddings(query), k_nearest_neighbors=3, fields=\"contentVector\")\n", + "embedding = client.embeddings.create(input=query, model=embedding_model_name).data[0].embedding\n", + "vector_query = VectorizedQuery(vector=embedding, k_nearest_neighbors=3, fields=\"contentVector\", exhaustive=True)\n", "\n", "results = search_client.search( \n", " search_text=query, \n", @@ -874,7 +840,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.5" + "version": "3.11.7" }, "orig_nbformat": 4 }, diff --git a/demo-python/output/docVectors-e5.json b/demo-python/output/docVectors-e5.json deleted file mode 100644 index d954b24..0000000 --- a/demo-python/output/docVectors-e5.json +++ /dev/null @@ -1 +0,0 @@ -[{"id": "1", "title": "Azure App Service", "content": "Azure App Service is a fully managed platform for building, deploying, and scaling web apps. You can host web apps, mobile app backends, and RESTful APIs. It supports a variety of programming languages and frameworks, such as .NET, Java, Node.js, Python, and PHP. The service offers built-in auto-scaling and load balancing capabilities. 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These services cover a wide range of capabilities, including vision, speech, language, knowledge, and search. They are designed to be easy to use and integrate into your applications. Cognitive Services are fully managed, scalable, and continuously improved by Microsoft. 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It offers turnkey global distribution, automatic and instant scalability, and guarantees low latency, high availability, and consistency. Cosmos DB supports popular NoSQL APIs, including MongoDB, Cassandra, Gremlin, and Azure Table Storage. You can build globally distributed applications with ease, without having to deal with complex configuration and capacity planning. 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It provides secure and reliable communication between your IoT devices and your backend solution. IoT Hub supports multiple communication protocols, including MQTT, AMQP, and HTTPS. It offers device-to-cloud and cloud-to-device messaging, device management, and device twin capabilities. 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It supports various data producers, such as IoT devices, applications, and services. Event Hubs provides low latency, high throughput, and scalable data streaming, making it suitable for big data scenarios like telemetry processing and log analytics. 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It enables you to ingest, prepare, manage, and serve data for immediate business intelligence and machine learning needs. Synapse Analytics provides a unified workspace for data engineers, data scientists, and business analysts to collaborate and build solutions. It supports various data sources, including Azure Data Lake Storage, Azure Blob Storage, and Azure Cosmos DB. 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It caches and serves content from edge servers located near your users, improving the performance and reliability of your web applications. Azure CDN supports various content types, including static files, videos, and images. It provides advanced features like geo-filtering, custom domains, and SSL certificates. 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It provides features like private IP addresses, secure connectivity, and simplified network architecture. Private Link supports various Azure services, such as Azure Storage, Azure SQL Database, and Azure App Service. You can use Private Link to build secure and compliant applications, reduce exposure to the public internet, and simplify your network management. 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It supports various platforms, including Azure, on-premises, and third-party cloud providers. Backup provides features like incremental backups, data encryption, and long-term retention. You can use Azure Backup to meet your data protection requirements, ensure business continuity, and comply with industry regulations. 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It provides features like personalized notifications, templates, and localization. Notification Hubs support various push notification services, such as Apple Push Notification Service (APNS), Firebase Cloud Messaging (FCM), and Windows Notification Service (WNS). You can use Notification Hubs to engage with your users, improve user retention, and increase app usage. 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It provides features like spatial intelligence, twin graphs, and event-driven functions. Digital Twins supports various data sources, such as Azure IoT Hub, Azure Event Hubs, and Azure Blob Storage. You can use Digital Twins to build connected solutions, optimize your operations, and improve your decision-making. 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It provides features like data asset registration, metadata discovery, and data lineage. Data Catalog supports various data sources, such as Azure SQL Database, Azure Blob Storage, and on-premises file systems. You can use Data Catalog to build a unified data catalog, improve data governance, and streamline your data discovery process. 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It provides features like private connectivity, secure RDP/SSH sessions, and browser-based access. Bastion supports various Azure services, such as Azure Virtual Machines, Azure Virtual Network, and Azure Active Directory. You can use Azure Bastion to securely access your virtual machines, minimize your attack surface, and improve the security of your infrastructure. 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It provides features like full-text search, faceted navigation, and filters. Azure Cognitive Search supports various data sources, such as Azure SQL Database, Azure Blob Storage, and Azure Cosmos DB. You can use Azure Cognitive Search to index your data, create custom scoring profiles, and integrate with other Azure services. 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It provides features like access control, auditing, and secure storage. Key Vault supports various types of secrets, such as connection strings, passwords, and API keys. You can use Key Vault to secure your applications, protect your sensitive data, and manage your cryptographic keys. 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It provides features like automatic attack mitigation, traffic profiling, and attack analytics. DDoS Protection supports various Azure services, such as Azure Virtual Machines, Azure App Service, and Azure Load Balancer. You can use Azure DDoS Protection to safeguard your infrastructure, ensure the availability of your applications, and maintain your business continuity. 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It provides features like site-to-site VPN, point-to-site VPN, and ExpressRoute. VPN Gateway supports various VPN protocols, such as IKEv2, SSTP, and OpenVPN. You can use Azure VPN Gateway to build hybrid applications, extend your on-premises networks to the cloud, and secure your data in transit. 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It provides features like data persistence, high availability, and automatic scaling. Cache for Redis supports various data structures, such as strings, lists, sets, and hashes. You can use Azure Cache for Redis to improve the performance of your applications, offload your databases, and reduce the latency of your data access. 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It provides features like offline data transfer, data encryption, and chain of custody. Import/Export supports various data types, such as files, databases, and virtual machines. You can use Azure Import/Export to migrate your data, build data lakes, and perform data backup and archiving. 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By committing to a one-year or three-year term, you can significantly reduce your virtual machine costs compared to pay-as-you-go pricing. RIs provide features like instance size flexibility, regional scoping, and easy exchanges. You can use Azure Reserved VM Instances to optimize your costs, ensure capacity availability, and simplify your budget planning. 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It provides features like continuous security assessments, threat protection, and security recommendations. Security Center supports various platforms, such as Windows, Linux, and Kubernetes. You can use Azure Security Center to detect and remediate threats, manage your security policies, and ensure compliance with industry regulations. 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It provides features like consortium management, private transactions, and integration with Azure Logic Apps. Blockchain Service supports various blockchain protocols, such as Ethereum and Hyperledger Fabric. You can use Azure Blockchain Service to build secure and compliant applications, streamline your business processes, and improve trust and transparency. 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It provides features like automatic backups, monitoring, and high availability. Database for MariaDB supports various data types, such as JSON, spatial, and full-text. You can use Azure Database for MariaDB to migrate your existing applications, build new applications, and ensure the performance and security of your data. 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It provides features like automatic scaling, low-latency access, and multi-master replication. Cosmos DB supports various data models, such as key-value, document, graph, and column-family. You can use Azure Cosmos DB to build globally distributed applications, ensure high availability and performance, and manage your data at scale. 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It provides features like device management, data visualization, and application templates. IoT Central supports various data sources, such as Azure IoT Hub, Azure Event Hubs, and Azure Blob Storage. You can use Azure IoT Central to build connected solutions, optimize your operations, and improve your decision-making. 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It provides features like automatic updates, device attestation, and error reporting. Azure Sphere supports various hardware platforms, such as microcontrollers and development boards. You can use Azure Sphere to build secure and compliant IoT devices, protect your intellectual property, and ensure the security of your IoT ecosystem. 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It supports various source and target platforms, such as SQL Server, MySQL, PostgreSQL, and Azure SQL Database. Database Migration Service provides features like schema conversion, data migration, and performance monitoring. You can use Azure Database Migration Service to migrate your databases, ensure the compatibility of your workloads, and minimize your migration risks. 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It provides features like environment templates, policy assignment, and RBAC configuration. Blueprints support various Azure services, such as Azure Virtual Machines, Azure Storage, and Azure App Service. You can use Azure Blueprints to ensure compliance with your organization's standards, automate your environment creation, and simplify your infrastructure management. 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It provides features like collaborative notebooks, job scheduling, and integration with Azure Machine Learning. Databricks supports various data sources, such as Azure Blob Storage, Azure Data Lake Storage, and Azure Cosmos DB. You can use Azure Databricks to build data lakes, develop big data analytics solutions, and train machine learning models. 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It provides features like cost analysis, budgeting, and alerting. Cost Management supports various Azure services, such as Azure Virtual Machines, Azure Storage, and Azure App Service. You can use Azure Cost Management to gain insights into your spending, ensure the efficient use of your resources, and control your cloud costs. 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It provides features like computer vision, speech recognition, and natural language processing. Cognitive Services supports various platforms, such as .NET, Java, Node.js, and Python. You can use Azure Cognitive Services to build chatbots, analyze images and videos, and process and understand text. 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It provides features like data validation, versioning, and integration with Azure Active Directory. API for FHIR supports various data types, such as clinical, imaging, and administrative data. You can use Azure API for FHIR to build healthcare applications, ensure the security and compliance of your health data, and streamline your data management. 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It provides features like automatic scaling, data prefetching, and integration with Azure Blob Storage. HPC Cache supports various file systems, such as NFS and SMB. You can use Azure HPC Cache to build high-performance computing applications, optimize your data access, and ensure the performance and reliability of your workloads. 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It provides features like data snapshotting, change tracking, and access control. Data Share supports various data sources, such as Azure Blob Storage, Azure Data Lake Storage, and Azure SQL Database. You can use Azure Data Share to collaborate with your partners, improve your data governance, and ensure the security of your data. 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It provides features like single sign-on (SSO), multi-factor authentication (MFA), and conditional access. Azure AD supports various platforms, such as Windows, macOS, and Linux. You can use Azure Active Directory to secure your applications, ensure the compliance of your workloads, and simplify your identity management. 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It provides features like private IP addresses, data exfiltration protection, and integration with Azure Private DNS. Private Link supports various Azure services, such as Azure Storage, Azure SQL Database, and Azure App Service. You can use Azure Private Link to build isolated environments, ensure the security of your data in transit, and simplify your network management. 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It provides features like automated site-to-site VPN, hub-and-spoke topology, and integration with Azure Firewall. Virtual WAN supports various Azure services, such as Azure Virtual Machines, Azure Storage, and Azure App Service. You can use Azure Virtual WAN to build hybrid applications, ensure the performance and security of your data in transit, and improve your network reliability. 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It provides features like automated failover, recovery plans, and integration with Azure Backup. Site Recovery supports various platforms, such as Windows, Linux, and VMware. You can use Azure Site Recovery to ensure the availability of your applications, maintain your business continuity, and automate your disaster recovery process. 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It provides features like automatic scaling, custom domains, and serverless integration. Web PubSub supports various programming languages, such as C#, JavaScript, and Java. You can use Azure Web PubSub to build chat applications, real-time dashboards, and collaborative tools. 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It provides features like private connectivity, secure RDP/SSH sessions, and browser-based access. Bastion supports various Azure services, such as Azure Virtual Machines, Azure Virtual Network, and Azure Active Directory. You can use Azure Bastion to securely access your virtual machines, minimize your attack surface, and improve the security of your infrastructure. 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It allows you to build and deploy event-driven applications that automatically scale with your workload. Functions support various languages, including C#, F#, Node.js, Python, and Java. It offers a variety of triggers and bindings to integrate with other Azure services and external services. 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code. These services cover a wide range of capabilities, including vision, speech, language, knowledge, and search. They are designed to be easy to use and integrate into your applications. Cognitive Services are fully managed, scalable, and continuously improved by Microsoft. 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tables. It provides a massively scalable object store for unstructured data. Storage supports data redundancy and geo-replication, ensuring high durability and availability. It offers a variety of data access and management options, including REST APIs, SDKs, and Azure Portal. 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It offers built-in intelligence that learns your application patterns and adapts to maximize performance, reliability, and data protection. SQL Database supports elastic scaling, allowing you to dynamically adjust resources to match your workload. It provides advanced security features, such as encryption, auditing, and threat detection. You can migrate your existing SQL Server databases to Azure SQL Database with minimal downtime.", "category": "Databases", "titleVector": [-0.010522556491196156, -0.0080567616969347, -0.00607519643381238, -0.025399746373295784, -0.03181493654847145, 0.036403097212314606, -0.04788724705576897, -0.02072916179895401, -0.003156079910695553, -0.02534479834139347, 0.01291279774159193, -0.007843837141990662, 0.016250893473625183, 0.0055394526571035385, -0.011559701524674892, 0.003750205971300602, 0.021759437397122383, -0.0015153648564592004, 0.026842134073376656, -0.019534040242433548, -0.0169377438724041, 0.00473583722487092, 0.010055497288703918, 0.01057063601911068, -0.003355266759172082, 0.022336391732096672, -0.01198554877191782, -0.017349854111671448, 0.028160888701677322, -0.005213198717683554, 0.019231826066970825, -0.026691026985645294, -0.006171355489641428, -0.0075690969824790955, 0.0028658853843808174, 0.02023462764918804, 0.0022374168038368225, -0.001978130778297782, 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It offers turnkey global distribution, automatic and instant scalability, and guarantees low latency, high availability, and consistency. Cosmos DB supports popular NoSQL APIs, including MongoDB, Cassandra, Gremlin, and Azure Table Storage. You can build globally distributed applications with ease, without having to deal with complex configuration and capacity planning. Data stored in Cosmos DB is automatically indexed, enabling you to query your data with SQL, JavaScript, or other supported query languages.", "category": "Databases", "titleVector": [-0.002028289483860135, -0.003025009064003825, -0.011465760879218578, -0.010852394625544548, -0.018540378659963608, 0.027922088280320168, -0.03100285865366459, -0.013654361478984356, 0.006402006838470697, -0.014372278936207294, 0.019279206171631813, -0.0034937462769448757, 0.0035094288177788258, 0.0024482361041009426, -0.007346450816839933, 0.012504300102591515, 0.023865509778261185, 0.0076810140162706375, 0.0059768324717879295, -0.007105983328074217, -0.009904465638101101, 0.003047661855816841, -0.004324926529079676, 0.01961376890540123, -0.007743744645267725, -0.005481957923620939, 0.019056163728237152, -0.01933496631681919, 0.028856078162789345, -0.009639603085815907, 0.037833523005247116, -0.020547758787870407, -0.003906722646206617, -0.012120947241783142, 0.002850757446140051, 0.010594502091407776, 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It simplifies Kubernetes deployment and management, making it easy for developers and administrators to deploy, scale, and manage containerized applications. AKS offers automatic upgrades, scaling, and self-healing capabilities, reducing the operational overhead of managing Kubernetes clusters. 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manage virtual machines in the cloud. You can choose from a wide range of VM sizes, operating systems, and software configurations. VMs support various operating systems, including Windows Server, Linux, and SQL Server. You can scale your VMs up or down as needed, and pay only for the resources you use. VMs provide built-in security features, such as Azure Security Center, Azure Active Directory, and encryption.", "category": "Compute", "titleVector": [-0.016730263829231262, -0.01966140605509281, -0.00032435799948871136, -0.017372706905007362, -0.020009396597743034, 0.03544139117002487, -0.04443558305501938, -0.026447201147675514, 0.008826887235045433, -0.03873390704393387, 0.021561965346336365, 0.012949224561452866, -0.006083124317228794, -0.01988893747329712, -0.007849840447306633, 0.006327386014163494, 0.015365074388682842, -0.0040085711516439915, 0.016569653525948524, -0.010111771523952484, -0.029980633407831192, 0.006206928286701441, 0.010138540528714657, -0.005313531961292028, -0.019433874636888504, 0.02778562344610691, -0.009870856069028378, -0.019393721595406532, 0.028481602668762207, -0.008746582083404064, 0.024894632399082184, -0.01992909051477909, -0.016007516533136368, -0.013825890608131886, -0.011262813583016396, 0.019969243556261063, 0.00670214369893074, 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It includes Azure Boards for work item tracking, Azure Repos for source code management, Azure Pipelines for continuous integration and continuous deployment, Azure Test Plans for manual and automated testing, and Azure Artifacts for package management. DevOps supports a wide range of programming languages, frameworks, and platforms, making it easy to integrate with your existing development tools and processes. 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monitor, and manage billions of IoT devices. It provides secure and reliable communication between your IoT devices and your backend solution. IoT Hub supports multiple communication protocols, including MQTT, AMQP, and HTTPS. It offers device-to-cloud and cloud-to-device messaging, device management, and device twin capabilities. With IoT Hub, you can build scalable and secure IoT solutions that integrate with other Azure services and custom applications.", "category": "Internet of Things", "titleVector": [-0.0008069270406849682, -0.014891356229782104, -0.022364258766174316, -0.003032037988305092, -0.023834336549043655, 0.024079350754618645, -0.03038163296878338, 0.008391701616346836, 0.01828070543706417, -0.02823096327483654, 0.025113850831985474, -0.004682473838329315, -0.00937175378203392, -0.00965079665184021, -0.010413059964776039, 0.013509754091501236, 0.016606448218226433, 0.007908481173217297, 0.01783151365816593, -0.017232593148946762, -0.026774495840072632, 0.006074285134673119, 0.023044850677251816, 0.010365418158471584, -0.011733409017324448, -0.0029809935949742794, 0.01772261969745159, -0.01994135044515133, 0.02937435731291771, -0.009147158823907375, 0.02015914022922516, -0.015857797116041183, -0.025508593767881393, -0.0063022831454873085, -0.004086955916136503, 0.013564201071858406, 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It offers a visual interface for creating and managing experiments, as well as support for popular programming languages like Python and R. Machine Learning supports various algorithms, frameworks, and data sources, making it easy to integrate with your existing data and workflows. You can deploy your models as web services, and scale them based on your needs. It also integrates with other Azure services, such as Azure Databricks and Azure Data Factory.", "category": "AI + Machine Learning", "titleVector": [-0.018198633566498756, -0.018526537343859673, 0.003907514736056328, -0.02298055775463581, -0.01440042071044445, 0.024333158507943153, -0.022324752062559128, -0.002934051677584648, 0.0033917499240487814, -0.024579087272286415, 0.028746191412210464, 0.007220704574137926, -0.00037849778891541064, -0.0033815030474215746, -0.021805571392178535, 0.008675775490701199, 0.021559642627835274, 0.008054125122725964, 0.008409353904426098, -0.005724645685404539, -0.02643720619380474, 0.017242249101400375, 0.022379402071237564, -0.013867578469216824, -0.009126642718911171, 0.0036786654964089394, 0.010349448770284653, -0.03724435344338417, 0.017105624079704285, -0.0005815160693600774, 0.03530425950884819, -0.025248555466532707, -0.01884077861905098, -0.005649500992149115, -0.000984563841484487, 0.007944824174046516, 0.015848660841584206, 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It provides a collaborative workspace for data scientists, engineers, and business users to process, analyze, and visualize big data. Databricks supports multiple programming languages, including Python, Scala, R, and SQL. It offers built-in integration with Azure Blob Storage, Azure Data Lake Storage, and Azure Cosmos DB. 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your applications and resources. It provides features like single sign-on (SSO), multi-factor authentication (MFA), and conditional access policies. Azure AD supports integration with on-premises Active Directory, as well as third-party identity providers like Google and Facebook. You can use Azure AD to protect both cloud-based and on-premises applications, and manage access for employees, partners, and customers.", "category": "Identity", "titleVector": [-0.011557268910109997, 0.0019347495399415493, -0.01222666073590517, -0.017076341435313225, -0.016311321407556534, 0.02490413747727871, -0.03734937682747841, -0.03289586678147316, 0.006574391853064299, -0.03598326817154884, 0.03786849603056908, -0.018155567348003387, 0.0060142879374325275, 0.016652848571538925, -0.02762269228696823, -0.013066817075014114, 0.013558615930378437, -0.018742993474006653, 0.018947908654808998, -0.017568141222000122, -0.027595369145274162, -0.0037158119957894087, -0.0013831837568432093, 0.0018596136942505836, -0.0022438312880694866, 0.015587285161018372, -0.0008303371723741293, -0.0220626350492239, 0.02846967801451683, -0.024999765679240227, 0.042294684797525406, -0.026680076494812965, -0.00920073315501213, -0.0070013003423810005, -0.002646832959726453, 0.018319500610232353, 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It provides a visual designer for creating workflows, and supports a wide range of connectors for popular services like Office 365, Salesforce, and Dropbox. Logic Apps enable you to automate tasks, process and transform data, and orchestrate complex processes without writing code. 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It supports various data producers, such as IoT devices, applications, and services. Event Hubs provides low latency, high throughput, and scalable data streaming, making it suitable for big data scenarios like telemetry processing and log analytics. 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It supports a wide range of sources and destinations, such as Azure Blob Storage, Azure SQL Database, and on-premises file systems. Data Factory provides a visual interface for designing and monitoring your workflows, as well as support for popular programming languages like Python and .NET. You can use Data Factory to move and transform data, orchestrate complex data processing tasks, and integrate with other Azure services.", "category": "Analytics", "titleVector": [-0.020028388127684593, -0.0179106667637825, -0.019447052851319313, -0.005183573812246323, -0.029039086773991585, 0.031253695487976074, -0.061178628355264664, -0.007972599007189274, 0.012685568071901798, -0.02033289708197117, 0.02870689518749714, 0.005411955527961254, 0.004453444387763739, -0.0017180535942316055, -0.012035026215016842, -0.010284099727869034, 0.010574767366051674, -0.013142331503331661, 0.011093816719949245, -0.01933632232248783, -0.01977924443781376, 0.019973022863268852, 0.004404999781399965, -0.00034538414911367, -0.021135693415999413, 0.007315136957913637, 0.015405387617647648, -0.027004411444067955, 0.024443767964839935, -0.009875780902802944, 0.031364426016807556, -0.028250129893422127, -0.006640372332185507, -0.0107616251334548, 0.017038661986589432, 0.01206962950527668, 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It enables you to ingest, prepare, manage, and serve data for immediate business intelligence and machine learning needs. Synapse Analytics provides a unified workspace for data engineers, data scientists, and business analysts to collaborate and build solutions. It supports various data sources, including Azure Data Lake Storage, Azure Blob Storage, and Azure Cosmos DB. You can use Synapse Analytics with other Azure services, such as Azure Machine Learning and Power BI.", "category": "Analytics", "titleVector": [-0.016226710751652718, -0.000696467119269073, -0.006870864890515804, -0.02223031036555767, -0.012708091177046299, 0.006959361489862204, -0.03723930940032005, -0.01392580196261406, 0.00804255809634924, -0.026846284046769142, 0.04604647681117058, -0.009989479556679726, 0.00960717536509037, -0.0138904033228755, -0.005801827646791935, -0.002500909846276045, 0.017062116414308548, 0.0034407421480864286, 0.024425022304058075, -0.018478060141205788, -0.02543034218251705, 0.007596535608172417, -0.009493899531662464, -0.0033805647399276495, -0.010371784679591656, 0.009557616896927357, 0.002371705137193203, -0.026194950565695763, 0.007532818242907524, -0.010088595561683178, 0.014867404475808144, -0.012623134069144726, -0.019582495093345642, -0.01024434994906187, -0.00724608963355422, 0.002155773574486375, 0.00797176081687212, 0.016042636707425117, 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It provides features like automatic scaling, task scheduling, and resource management. Batch supports various VM sizes, operating systems, and application frameworks, making it easy to integrate with your existing workloads. You can use Batch to process large datasets, run simulations, and perform complex calculations. 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It caches and serves content from edge servers located near your users, improving the performance and reliability of your web applications. Azure CDN supports various content types, including static files, videos, and images. It provides advanced features like geo-filtering, custom domains, and SSL certificates. You can use Azure CDN with other Azure services, such as Azure App Service and Azure Storage.", "category": "Networking", "titleVector": [-0.012763319537043571, -0.013379093259572983, 0.0020764884538948536, -0.00998533796519041, 0.00298790424130857, 0.023049546405673027, -0.03579887002706528, -0.031096596270799637, 0.017423611134290695, -0.008319948799908161, 0.024029187858104706, -0.01890706643462181, 0.016206057742238045, -0.024337075650691986, -0.01427476480603218, -0.001527189975604415, 0.011132917366921902, -0.012924260459840298, -0.00740328524261713, -0.019019024446606636, -0.021804004907608032, 8.987329056253657e-05, -0.005311052314937115, -0.02124420925974846, -0.01369397807866335, -0.013742960058152676, 0.0019785244949162006, -0.015380360186100006, 0.013491052202880383, -0.013889905996620655, 0.03319582715630531, -0.02603045478463173, -0.007648195140063763, -0.005237579345703125, -0.0173956211656332, 0.0022129383869469166, 0.0009254106553271413, -0.03711438924074173, 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It provides faster speeds, lower latencies, and more reliability than a standard internet connection. ExpressRoute supports various connectivity models, such as point-to-point, any-to-any, and hub-and-spoke. You can use ExpressRoute to extend your on-premises networks into Azure, build hybrid applications, and migrate workloads to the cloud. 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It provides features like automatic failover, performance-based routing, and geographic routing. Traffic Manager supports various Azure services, such as Azure App Service, Azure Cloud Services, and Azure Virtual Machines. You can use Traffic Manager to build highly available and responsive applications, optimize your users' experience, and improve the resiliency of your infrastructure.", "category": "Networking", "titleVector": [-0.01484463457018137, -0.010450293309986591, -0.006509118247777224, -0.012228628620505333, 0.003378150053322315, 0.03768147900700569, -0.042899757623672485, 0.003954907413572073, 0.01853862777352333, -0.032847702503204346, 0.009214384481310844, -0.012414014898240566, -0.0084453746676445, 0.010299238376319408, -0.008108933456242085, -0.02246607095003128, 0.010875995270907879, 0.0058877309784293175, 0.006848993245512247, 0.008575832471251488, -0.022754449397325516, 0.018813274800777435, -0.0059392270632088184, 0.002521596848964691, 0.003786686575040221, 0.022260086610913277, 0.01065627858042717, -0.028206178918480873, 0.02022770419716835, -0.020365025848150253, 0.03806598484516144, -0.009928465820848942, -0.013752915896475315, -0.011047649197280407, -0.012853449210524559, 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It provides features like subnets, network security groups, and virtual network peering. VNet supports various Azure services, such as Azure Virtual Machines, Azure App Service, and Azure Kubernetes Service. You can use VNet to build isolated environments, connect your on-premises networks to Azure, and secure your applications and resources. It also integrates with other Azure services, such as Azure ExpressRoute and Azure Traffic Manager.", "category": "Networking", "titleVector": [-0.016445714980363846, -0.012273325584828854, 0.0028939172625541687, -0.009658808819949627, -0.011027027852833271, 0.029450561851263046, -0.04638395830988884, -0.02453310415148735, 0.004009827971458435, -0.03245793282985687, 0.01686566136777401, -0.008547978475689888, 0.004677003715187311, -0.017705557867884636, -0.004074174910783768, 0.004646523855626583, 0.010004250332713127, -0.005547380540519953, 0.015321336686611176, -0.008141576312482357, -0.0425637848675251, 0.013492530211806297, -0.005537220276892185, -0.007118799723684788, -0.009367554448544979, 0.028421010822057724, -0.008520884439349174, -0.024126702919602394, 0.037957899272441864, -0.00467023067176342, 0.028502291068434715, -0.00962494220584631, -0.011894017457962036, -0.009381101466715336, 0.010234544053673744, 0.015172322280704975, -0.00029379440820775926, -0.016499901190400124, 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security service that protects your Azure Virtual Network resources. It provides features like stateful packet inspection, application filtering, and threat intelligence. Firewall supports various network protocols, including TCP, UDP, and ICMP. You can use Azure Firewall to create and enforce network security policies, prevent unauthorized access, and protect your applications and data. 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It provides features like private IP addresses, secure connectivity, and simplified network architecture. Private Link supports various Azure services, such as Azure Storage, Azure SQL Database, and Azure App Service. You can use Private Link to build secure and compliant applications, reduce exposure to the public internet, and simplify your network management. 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applications and data by orchestrating replication, failover, and recovery of workloads. It supports various platforms, including Azure, on-premises, and third-party cloud providers. Site Recovery provides features like automated recovery, application consistency, and network integration. You can use Site Recovery to meet your business continuity and disaster recovery requirements, minimize downtime, and ensure compliance with industry regulations. It also integrates with other Azure services, such as Azure Backup and Azure Monitor.", "category": "Management + Governance", "titleVector": [-0.00505070062354207, -0.006929146125912666, 0.012017900124192238, -0.019054286181926727, -0.012612913735210896, 0.030913054943084717, -0.034344762563705444, -0.031217480078339577, 0.027204595506191254, -0.004210070241242647, 0.019510924816131592, -0.002769236918538809, -0.0014589951606467366, 0.003006204729899764, -0.011478235945105553, -0.010903977788984776, 0.011346778832376003, 0.014723137952387333, 0.006015868857502937, -0.012993445619940758, -0.024340225383639336, 0.008752241730690002, 7.648481550859287e-05, -0.008689972572028637, 0.0003740458923857659, -0.002186330733820796, 0.00016442884225398302, -0.026166779920458794, 0.02557176537811756, -0.006168081425130367, 0.020700953900814056, -0.03686319664120674, -0.019358713179826736, -0.00878683477640152, -0.006759636104106903, 0.00047090864973142743, 0.001770339673385024, 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It supports various platforms, including Azure, on-premises, and third-party cloud providers. Backup provides features like incremental backups, data encryption, and long-term retention. You can use Azure Backup to meet your data protection requirements, ensure business continuity, and comply with industry regulations. It also integrates with other Azure services, such as Azure Site Recovery and Azure Storage.", "category": "Management + Governance", "titleVector": [-0.008491435088217258, -0.030903028324246407, 0.021397588774561882, -0.03341389819979668, -0.032641325145959854, 0.024515483528375626, -0.02261163480579853, -0.03669734671711922, 0.025081118568778038, -0.01996280439198017, 0.016251681372523308, 0.01338211540132761, 0.0005022604600526392, -0.0037352656945586205, -0.005142457317560911, 0.0028954343870282173, 0.02763337828218937, 0.020086968317627907, 0.03112376481294632, -0.012464681640267372, -0.027523009106516838, 0.012174965813755989, -0.014996246434748173, -0.0017693364061415195, -0.0044526574201881886, -0.0020073172636330128, -0.0010459088953211904, -0.025563979521393776, 0.02306690439581871, -0.01496865414083004, 0.025246670469641685, -0.015327350236475468, -0.004728577099740505, -0.017769241705536842, -0.019314393401145935, -0.006594485603272915, -0.004897578153759241, 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reliable and scalable applications. It provides features like message queuing, publish-subscribe, and dead-lettering. Service Bus supports various messaging patterns, including point-to-point, broadcast, and request-reply. You can use Service Bus to integrate your applications and services, decouple your system components, and handle asynchronous communication. 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fast-moving data. It supports various data sources, such as Azure Event Hubs, Azure IoT Hub, and Azure Blob Storage. Stream Analytics provides features like windowing, time-based aggregations, and user-defined functions. You can use Stream Analytics to build real-time dashboards, detect anomalies, and generate alerts. 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to users across various platforms, including iOS, Android, and Windows. It provides features like personalized notifications, templates, and localization. Notification Hubs support various push notification services, such as Apple Push Notification Service (APNS), Firebase Cloud Messaging (FCM), and Windows Notification Service (WNS). You can use Notification Hubs to engage with your users, improve user retention, and increase app usage. It also integrates with other Azure services, such as Azure Mobile Apps and Azure Functions.", "category": "Mobile", "titleVector": [-0.003047468839213252, -0.021158238872885704, -0.006286044605076313, -0.006548816338181496, -0.002936558797955513, 0.005194006487727165, -0.0442548468708992, -0.009964847937226295, 0.022591538727283478, -0.02435244992375374, 0.012763195671141148, -0.009548508562147617, -0.015370436944067478, -0.0028102919459342957, -0.0074258591048419476, 0.01217622496187687, 0.01945192925632, 0.002366651315242052, 0.024338800460100174, -0.033443666994571686, -0.03210592269897461, 0.01890590973198414, -0.00022821890888735652, 0.010135479271411896, 0.00026277167489752173, 0.0012259833747521043, 0.01373237930238247, -0.022714393213391304, 0.025348935276269913, -0.014442204497754574, 0.012394633144140244, -0.0029672724194824696, -0.022045519202947617, -0.006920791696757078, -0.01314540859311819, 0.004719652235507965, 0.002098760800436139, -0.016926590353250504, 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It provides features like offline data sync, push notifications, and user authentication. Mobile Apps supports various platforms, including iOS, Android, and Windows. You can use Mobile Apps to build cross-platform applications, integrate with other Azure services, and improve your app development lifecycle. 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enables you to explore and analyze time-series data. It supports various data sources, such as Azure IoT Hub, Azure Event Hubs, and Azure Blob Storage. Time Series Insights provides features like real-time data streaming, advanced querying, and pattern recognition. You can use Time Series Insights to monitor your IoT devices, detect anomalies, and gain insights into your data. It also integrates with other Azure services, such as Azure Stream Analytics and Azure Machine Learning.", "category": "Analytics", "titleVector": [-0.015254066325724125, -0.01885804906487465, -0.004449102561920881, -0.035788387060165405, -0.004274491220712662, 0.010511616244912148, -0.03193296492099762, -0.018885986879467964, -0.004309413488954306, -0.04271697252988815, 0.027462907135486603, 0.011468487791717052, 0.007214949931949377, -0.011056404560804367, -0.0095687136054039, 0.0031988839618861675, 0.02399861440062523, 0.0004714512324426323, 0.02634539268910885, -0.033441606909036636, -0.02772831730544567, 0.00801117904484272, 0.02202899567782879, 0.012481234967708588, -0.0018159602768719196, 0.005535186734050512, -0.004176708869636059, -0.022727441042661667, 0.03145802021026611, -0.012809504754841328, 0.03313428908586502, -0.009694433771073818, -0.023048726841807365, -0.013270478695631027, -0.01754496991634369, -0.011084342375397682, 0.010176362469792366, -0.0024340851232409477, 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representations of your physical assets, environments, and processes. It provides features like spatial intelligence, twin graphs, and event-driven functions. Digital Twins supports various data sources, such as Azure IoT Hub, Azure Event Hubs, and Azure Blob Storage. You can use Digital Twins to build connected solutions, optimize your operations, and improve your decision-making. It also integrates with other Azure services, such as Azure Time Series Insights and Azure Machine Learning.", "category": "Internet of Things", "titleVector": [-0.010136991739273071, -0.0044968086294829845, -0.0033168320078402758, -0.0072855269536376, -0.020566798746585846, 0.04439639672636986, -0.03700629249215126, -0.010541355237364769, 0.009509529918432236, -0.032823216170072556, 0.020106660202145576, 0.002445357386022806, -0.007850242778658867, -0.008240662515163422, -0.008505591191351414, 0.005915569141507149, 0.00503015099093318, 0.0014998075785115361, 0.030229708179831505, -0.015435556881129742, -0.019493142142891884, 0.01293268147855997, 0.02271411195397377, -0.0035277288407087326, -0.009648965671658516, 0.011106071062386036, 0.003367377445101738, -0.019785957410931587, 0.02530761994421482, -0.016160624101758003, 0.026743808761239052, -0.037536151707172394, -0.012249445542693138, -0.02233763411641121, 0.00017375023162458092, -0.0023372946307063103, -0.00028126841061748564, 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It provides features like ingestion, querying, and visualization. Data Explorer supports various data sources, such as Azure Event Hubs, Azure IoT Hub, and Azure Blob Storage. You can use Data Explorer to analyze logs, monitor applications, and gain insights into your data. 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It provides features like data asset registration, metadata discovery, and data lineage. Data Catalog supports various data sources, such as Azure SQL Database, Azure Blob Storage, and on-premises file systems. You can use Data Catalog to build a unified data catalog, improve data governance, and streamline your data discovery process. It also integrates with other Azure services, such as Azure Synapse Analytics and Azure Data Factory.", "category": "Analytics", "titleVector": [-0.004737503360956907, -0.0072937593795359135, 0.009626385755836964, -0.02592725120484829, -0.01943167671561241, 0.04489102587103844, -0.04731310158967972, -0.018922489136457443, -0.000883336178958416, -0.013899427838623524, 0.02528044581413269, -0.010431451722979546, 0.014477424323558807, 0.003619356080889702, -0.0204500500112772, 0.007052927743643522, 0.0099016223102808, -0.005731794051826, 0.010342000052332878, -0.016706837341189384, -0.018069256097078323, 0.0069875591434538364, -0.00489920424297452, 0.0012746877036988735, -0.006024232599884272, 0.0022242525592446327, 0.020890427753329277, -0.02706948108971119, 0.028404375538229942, -0.007596519310027361, 0.04081752896308899, -0.024262070655822754, -0.006908428855240345, -0.02920256182551384, 0.02038124017417431, 0.013988880440592766, 0.0007362568285316229, 0.005384308286011219, 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It provides features like unlimited storage, hierarchical namespace, and fine-grained access control. Data Lake Storage supports various data types, such as structured, semi-structured, and unstructured data. You can use Data Lake Storage to store and analyze your data, build data lakes, and integrate with other Azure services. 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It provides features like job scheduling, parallel processing, and built-in analytics functions. Data Lake Analytics supports various data sources, such as Azure Data Lake Storage, Azure Blob Storage, and Azure SQL Database. You can use Data Lake Analytics to run U-SQL, R, and Python scripts, perform advanced analytics, and gain insights into your data. It also integrates with other Azure services, such as Azure Machine Learning and Azure Data Factory.", "category": "Analytics", "titleVector": [-0.01393243856728077, -0.010837110690772533, -0.0017441515810787678, -0.022643674165010452, -0.030191566795110703, 0.03132721409201622, -0.04332074522972107, -0.008247283287346363, 9.126500663114712e-05, -0.03550971299409866, 0.030690142884850502, 0.006481492426246405, 0.003235552692785859, 0.0038362678606063128, -0.013717773370444775, -0.002778524300083518, 0.009909204207360744, -0.008676612749695778, 0.02852964587509632, -0.028183411806821823, -0.026064462959766388, 0.008655838668346405, 0.008420400321483612, -0.0002147730119759217, -0.015331221744418144, -0.008898202329874039, 0.015054235234856606, -0.031576499342918396, 0.024762624874711037, -0.005512038245797157, 0.02650764212012291, -0.026618435978889465, -0.02120334282517433, -0.01390474010258913, 0.006003689952194691, -0.0038016445469111204, -0.011827338486909866, 0.01853042095899582, 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It provides features like private connectivity, secure RDP/SSH sessions, and browser-based access. Bastion supports various Azure services, such as Azure Virtual Machines, Azure Virtual Network, and Azure Active Directory. You can use Azure Bastion to securely access your virtual machines, minimize your attack surface, and improve the security of your infrastructure. It also integrates with other Azure services, such as Azure Monitor and Azure Security Center.", "category": "Security", "titleVector": [-0.008845914155244827, -0.025790877640247345, -0.0016701717395335436, -0.011182442307472229, 0.00025373761309310794, 0.019158154726028442, -0.04198897257447243, -0.015225114300847054, 0.022913042455911636, -0.01414250023663044, 0.010661691427230835, 0.003960448317229748, 0.003467105096206069, -0.0049334303475916386, -0.017075151205062866, 0.004419531207531691, 0.018418138846755028, 0.008928138762712479, 0.013423041440546513, -0.0052246395498514175, -0.04456532001495361, 0.004457217175513506, 0.017431452870368958, 0.010140939615666866, 3.894390829373151e-05, -0.011011142283678055, 0.005875578615814447, -0.03453401103615761, 0.016992926597595215, -0.008448499254882336, 0.041906747967004776, -0.002213191706687212, -0.01766442134976387, -0.01234728004783392, -0.01739034242928028, 0.019884465262293816, 0.003174182726070285, -0.024721967056393623, 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It provides features like encoding, streaming, content protection, and video indexing. Media Services supports various input and output formats, such as MP4, MPEG-DASH, and HLS. You can use Media Services to deliver live and on-demand video, build video-on-demand platforms, and analyze your video content. 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It provides features like full-text search, faceted navigation, and filters. Azure Cognitive Search supports various data sources, such as Azure SQL Database, Azure Blob Storage, and Azure Cosmos DB. You can use Azure Cognitive Search to index your data, create custom scoring profiles, and integrate with other Azure services. It also integrates with other Azure services, such as Azure Cognitive Services and Azure Machine Learning.", "category": "AI + Machine Learning", "titleVector": [-0.006956079974770546, 0.006160607561469078, 0.0007554406183771789, -0.012982387095689774, -0.016708366572856903, 0.03796229138970375, -0.0321219377219677, -0.027535056695342064, -0.019738737493753433, -0.024683753028512, 0.02939460426568985, 0.004927797242999077, 0.0061123971827328205, -0.007293553091585636, -0.00880185142159462, -0.007279778830707073, 0.023485379293560982, -0.0025654849596321583, 0.009476798586547375, -0.026639720425009727, -0.013698657043278217, 0.0013524754904210567, 0.019325505942106247, 0.004094445146620274, -0.009380376897752285, -0.005227390676736832, 0.007011177949607372, -0.029697641730308533, 0.013987919315695763, -0.020083097741007805, 0.03465643152594566, -0.02044123411178589, -0.03482172265648842, -0.014518234878778458, 0.004425031132996082, 0.009786722250282764, 0.004989782348275185, 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It provides features like access control, auditing, and secure storage. Key Vault supports various types of secrets, such as connection strings, passwords, and API keys. You can use Key Vault to secure your applications, protect your sensitive data, and manage your cryptographic keys. It also integrates with other Azure services, such as Azure Virtual Machines and Azure App Service.", "category": "Security", "titleVector": [-0.003949590027332306, -0.0197305828332901, 0.007128020282834768, -0.025621967390179634, -0.037682633846998215, 0.024927228689193726, -0.04073948413133621, -0.03390325605869293, 0.00986529141664505, -0.007794969715178013, 0.04054495692253113, -0.008121496997773647, 0.00018877357069868594, 0.000685620354488492, -0.025483019649982452, -0.007968653924763203, 0.017298996448516846, -0.005860121920704842, 0.01240803487598896, -0.02300974912941456, -0.02052258513867855, 0.01290824729949236, 0.0007959101349115372, 0.0025236387737095356, -0.018035419285297394, -0.002188427373766899, -0.00172382069285959, -0.02007795125246048, 0.0321803018450737, -0.02266238071024418, 0.028484292328357697, -0.012352456338703632, -0.023079223930835724, 0.0027129549998790026, 0.009358132258057594, 0.011970349587500095, -0.0010655556106939912, -0.0066972821950912476, 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It provides features like log analytics, metrics, alerts, and dashboards. Azure Monitor supports various data sources, such as Azure resources, custom applications, and operating systems. You can use Azure Monitor to detect and diagnose issues, optimize your performance, and ensure the availability of your resources. It also integrates with other Azure services, such as Azure Log Analytics and Azure Application Insights.", "category": "Management + Governance", "titleVector": [0.0001066308468580246, -0.011073259636759758, 0.005892100743949413, -0.010033674538135529, -0.008752637542784214, 0.03168387711048126, -0.045285675674676895, -0.020442940294742584, 0.006700294557958841, -0.008752637542784214, 0.023756200447678566, -0.015372447669506073, 0.0047820922918617725, -0.005167744588106871, -0.027579190209507942, 0.004932999610900879, 0.025097599253058434, 0.002392722759395838, 0.009993432089686394, -0.011884806677699089, -0.0359763577580452, 0.006582921836525202, -0.0017203459283336997, 0.013776181265711784, 0.0008371176081709564, -0.0012659465428441763, 0.006079896818846464, -0.02307208627462387, 0.018833260983228683, -0.01726382225751877, 0.02587561123073101, -0.029832743108272552, -0.017451617866754532, -0.020630737766623497, -0.0157480388879776, 0.014607849530875683, -0.0019299397245049477, 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It provides features like automatic attack mitigation, traffic profiling, and attack analytics. DDoS Protection supports various Azure services, such as Azure Virtual Machines, Azure App Service, and Azure Load Balancer. You can use Azure DDoS Protection to safeguard your infrastructure, ensure the availability of your applications, and maintain your business continuity. It also integrates with other Azure services, such as Azure Security Center and Azure Monitor.", "category": "Security", "titleVector": [-0.02318022958934307, -0.013366403058171272, -0.0017235446721315384, -0.017177598550915718, -0.013128203339874744, 0.030053989961743355, -0.04099756479263306, -0.019287366420030594, 0.0005844398401677608, -0.039282526820898056, 0.029210083186626434, 0.005835891701281071, 0.008806581608951092, -0.007057515438646078, -0.017436213791370392, 0.012522496283054352, 0.016905369237065315, 0.00040047315997071564, 0.008915472775697708, -0.021601306274533272, -0.01810317300260067, 0.012080125510692596, -0.006768273189663887, 0.0063871536403894424, -0.009997579269111156, -0.012536107562482357, 0.009487152099609375, -0.02387441135942936, 0.016918981447815895, -0.0006031555240042508, 0.0347907617688179, -0.026787253096699715, -0.0022594938054680824, 0.006635561585426331, -0.011032046750187874, -0.0019243129063397646, 0.00703029241412878, 0.007472663186490536, 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It provides features like SSL offloading, URL-based routing, and custom health probes. Application Gateway supports various Azure services, such as Azure Virtual Machines, Azure App Service, and Azure Kubernetes Service. You can use Application Gateway to secure your applications, improve performance, and ensure high availability. 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high-performance virtual network gateway that enables you to establish encrypted connections between your on-premises networks and Azure Virtual Networks. It provides features like site-to-site VPN, point-to-site VPN, and ExpressRoute. VPN Gateway supports various VPN protocols, such as IKEv2, SSTP, and OpenVPN. You can use Azure VPN Gateway to build hybrid applications, extend your on-premises networks to the cloud, and secure your data in transit. 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It provides popular open-source frameworks, such as Apache Hadoop, Apache Spark, Apache Kafka, and Apache HBase. HDInsight supports various data sources, such as Azure Blob Storage, Azure Data Lake Storage, and Azure Cosmos DB. You can use HDInsight to analyze and process large volumes of data, build real-time analytics solutions, and develop machine learning models. It also integrates with other Azure services, such as Azure Synapse Analytics and Azure Machine Learning.", "category": "Analytics", "titleVector": [-0.015581383369863033, 0.002213343046605587, 0.021612441167235374, -0.03414379432797432, -0.013318011537194252, 0.006213922053575516, -0.022040273994207382, -0.008294429630041122, 0.03265327960252762, -0.03665558248758316, 0.02484188601374626, 0.0035986232105642557, -0.0024186335504055023, -0.004885571077466011, -0.014670513570308685, 0.01149627286940813, 0.023820608854293823, -0.0027308822609484196, 0.029617048799991608, -0.019901111721992493, -0.023737803101539612, 0.0008461767574772239, 0.0225509125739336, 0.024138033390045166, -0.009219099767506123, -0.005199544597417116, 0.01610582321882248, -0.013987362384796143, 0.035661909729242325, -0.016947686672210693, 0.027671100571751595, -0.018576210364699364, -0.02017713151872158, -0.009564125910401344, -0.008266828022897243, 0.012662461958825588, 0.005561822559684515, 0.0003176397585775703, 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visualizations and reports into your applications. It provides features like data exploration, custom visuals, and real-time data refresh. Power BI Embedded supports various data sources, such as Azure SQL Database, Azure Blob Storage, and on-premises databases. You can use Power BI Embedded to create data-driven applications, improve decision-making, and enhance user experiences. 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It provides features like automatic scaling, built-in encryption, and integration with Azure Backup. Managed Disks supports various disk types, such as Premium SSD, Standard SSD, and Standard HDD. You can use Managed Disks to store and manage your data, improve the performance of your applications, and ensure high availability. It also integrates with other Azure services, such as Azure Virtual Machines and Azure Site Recovery.", "category": "Storage", "titleVector": [-0.026165036484599113, -0.007124143652617931, 0.006588980555534363, -0.007962679490447044, -0.012768919579684734, 0.03918619826436043, -0.04791242256760597, -0.026628617197275162, -0.0011768471449613571, -0.03978612646460533, 0.028005724772810936, 0.017643334344029427, 0.00923752598464489, 0.011855392716825008, -0.01623895764350891, 0.029178310185670853, 0.018161453306674957, 0.00912844855338335, 0.016034435480833054, -0.02788301184773445, -0.017629699781537056, 0.011105483397841454, 0.0009714741609059274, 0.004676710348576307, 2.318169572390616e-05, 0.00208781729452312, 0.008808031678199768, -0.022183697670698166, 0.014193748123943806, 0.0007571533205918968, 0.03670467808842659, -0.02634228765964508, -0.009707923978567123, -0.011950836516916752, -0.022906336933374405, -0.004090417176485062, 0.019606733694672585, -0.0066367024555802345, 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It provides features like data persistence, high availability, and automatic scaling. Cache for Redis supports various data structures, such as strings, lists, sets, and hashes. You can use Azure Cache for Redis to improve the performance of your applications, offload your databases, and reduce the latency of your data access. It also integrates with other Azure services, such as Azure App Service and Azure Kubernetes Service.", "category": "Databases", "titleVector": [-0.015628373250365257, -0.011218385770916939, 0.0035202521830797195, -0.03809328004717827, -0.021423952654004097, 0.027191398665308952, 0.0029751581605523825, -0.013898138888180256, 0.006579812150448561, 0.001023370074108243, 0.03069406747817993, -0.014200577512383461, 0.008630068972706795, -0.03257903829216957, -0.013834837824106216, 0.0013495472958311439, 0.015951912850141525, -0.001661657472141087, 0.019327977672219276, -0.02420920692384243, -0.022422704845666885, 0.00829949602484703, -0.016219183802604675, -0.012632113881409168, -0.026403650641441345, -0.01078934408724308, 0.014798423275351524, -0.01467182021588087, 0.015951912850141525, -0.008953608572483063, 0.045942630618810654, -0.02070653811097145, 0.00039673171704635024, -0.009192746132612228, -0.011126951314508915, 0.006259789224714041, -0.001811118796467781, -0.016669325530529022, 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files over the Server Message Block (SMB) protocol. It provides features like snapshots, shared access signatures, and integration with Azure Backup. File Storage supports various platforms, such as Windows, Linux, and macOS. You can use Azure File Storage to build file sharing solutions, lift and shift your applications to the cloud, and simplify your data management. It also integrates with other Azure services, such as Azure Virtual Machines and Azure Kubernetes Service.", "category": "Storage", "titleVector": [-0.010078017599880695, -0.0033773190807551146, -0.00366093753837049, -0.014351431280374527, -0.04150918498635292, 0.027310872450470924, -0.03819624334573746, -0.03936551883816719, 0.025556962937116623, -0.026948953047394753, 0.03438218683004379, -0.012214724905788898, 0.020712831988930702, 0.013265678659081459, -0.013286557979881763, 0.00021651991119142622, 0.015033507719635963, 0.00574892433360219, 0.011831927113234997, -0.02429025061428547, -0.018332526087760925, 0.028215665370225906, -0.0032607398461550474, 0.009660420008003712, -0.007892590947449207, 0.011490888893604279, 0.012465283274650574, -0.02648959681391716, 0.04081318899989128, -0.02314881794154644, 0.0349111445248127, -0.019167721271514893, -0.019529638811945915, -0.012862000614404678, -0.0004519622016232461, -0.008692986331880093, -0.0027526631020009518, -0.016898775473237038, 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It provides features like automatic scaling, schema-less design, and a RESTful API. Table Storage supports various data types, such as strings, numbers, and booleans. You can use Azure Table Storage to store and manage your data, build scalable applications, and reduce the cost of your storage. 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It provides features like at-least-once delivery, message time-to-live, and a RESTful API. Queue Storage supports various programming languages, such as C#, Java, and Python. You can use Azure Queue Storage to build distributed applications, offload your databases, and process and store large volumes of messages. 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It provides features like offline data transfer, data encryption, and chain of custody. Data Box supports various data types, such as files, databases, and virtual machines. You can use Azure Data Box to migrate your data, build data lakes, and perform data backup and archiving. It also integrates with other Azure services, such as Azure Storage and Azure Synapse Analytics.", "category": "Storage", "titleVector": [-0.021226705983281136, -0.03125042840838432, -0.0007918775663711131, -0.017394106835126877, -0.027010703459382057, 0.025873558595776558, -0.04579465463757515, -0.027488023042678833, 0.02090381272137165, -0.012740235775709152, 0.024792568758130074, 0.002497156383469701, 0.017197562381625175, 0.005029409658163786, -0.020005328580737114, -0.0024603044148534536, 0.0040817889384925365, 0.00921649020165205, 0.009848237037658691, -0.02451179176568985, -0.02067919261753559, 0.0010897639440372586, 0.02154959924519062, -0.010479983873665333, -0.008626858703792095, 0.005962991621345282, 0.010634411126375198, -0.016467543318867683, 0.021254783496260643, -0.013687856495380402, 0.03355279564857483, -0.01987897790968418, 0.003983517177402973, -0.015175972133874893, -0.004776710644364357, 0.014853078871965408, 0.004327468574047089, 0.0015021545113995671, 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It provides features like offline data transfer, data encryption, and chain of custody. Import/Export supports various data types, such as files, databases, and virtual machines. You can use Azure Import/Export to migrate your data, build data lakes, and perform data backup and archiving. It also integrates with other Azure services, such as Azure Storage and Azure Data Box.", "category": "Storage", "titleVector": [-0.004511728882789612, -0.026328066363930702, 0.01241491548717022, -0.020893560722470284, -0.023862788453698158, 0.03219842165708542, -0.02800336480140686, -0.03470455855131149, 0.022800404578447342, -0.028929544612765312, 0.02873886190354824, 0.004126954823732376, 0.014423911459743977, 0.004007777199149132, -0.022350933402776718, -0.0038341181352734566, 0.021901464089751244, -0.007899781689047813, 0.002366529544815421, -0.016167310997843742, -0.03652967885136604, 0.005247225519269705, 0.006364091299474239, 0.016357995569705963, 0.007218766026198864, 0.01590852625668049, 0.009568270295858383, -0.021669918671250343, 0.041215069591999054, -0.02688649855554104, 0.02862989902496338, -0.005853329785168171, -0.0030594628769904375, -0.006309610325843096, -0.03331528604030609, -0.016630401834845543, 0.0074298810213804245, -0.0013739491114392877, 0.014968723990023136, 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It provides features like load balancing, SSL offloading, and web application firewall (WAF). Front Door supports various Azure services, such as Azure App Service, Azure Storage, and Azure Virtual Machines. You can use Azure Front Door to build highly available and responsive applications, optimize your users' experience, and improve the security of your infrastructure. It also integrates with other Azure services, such as Azure CDN and Azure Traffic Manager.", "category": "Networking", "titleVector": [-0.007828705944120884, 0.0018638160545378923, -0.013722303323447704, -0.005526944529265165, -0.006650665774941444, 0.02034241519868374, -0.04361804947257042, -0.024416329339146614, 0.008949032984673977, -0.006076923105865717, 0.0288704764097929, -0.011909411288797855, -0.007455264218151569, -0.006725354585796595, -0.018957283347845078, -0.011013149283826351, 0.011664976365864277, -0.0031063600908964872, 0.010687236674129963, -0.02410399541258812, -0.03321598470211029, 0.005000730510801077, 0.010286634787917137, 0.0077268583700060844, -0.023425010964274406, 0.01667589135468006, 0.009308895096182823, -0.020654747262597084, 0.015141383744776249, -0.013722303323447704, 0.032862912863492966, -0.008378684520721436, -0.03405792638659477, -0.012255693785846233, 0.004759690258651972, 0.03003833256661892, 0.004097679164260626, -0.007400945294648409, 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It provides features like stateful services, fault tolerance, and rolling upgrades. Service Fabric supports various programming languages, such as C#, Java, and Node.js. You can use Azure Service Fabric to build cloud-native applications, modernize your existing applications, and ensure high availability and scalability. 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By committing to a one-year or three-year term, you can significantly reduce your virtual machine costs compared to pay-as-you-go pricing. RIs provide features like instance size flexibility, regional scoping, and easy exchanges. You can use Azure Reserved VM Instances to optimize your costs, ensure capacity availability, and simplify your budget planning. It also integrates with other Azure services, such as Azure Cost Management and Azure Virtual Machines.", "category": "Management + Governance", "titleVector": [-0.0024971519596874714, -0.024627922102808952, -0.001769177382811904, -0.005730087403208017, -0.008905756287276745, 0.032568830996751785, -0.0392325296998024, -0.01870000548660755, 0.0002956582757178694, -0.03598397597670555, 0.02298976294696331, 0.010169082321226597, 0.002401708159595728, -0.026793623343110085, -0.007097533904016018, 0.012931741774082184, 0.02081017754971981, -0.007468896452337503, 0.030791843309998512, -0.018047519028186798, -0.023184120655059814, 0.013119158335030079, 0.0033092901576310396, 0.018894363194704056, 0.0018967248033732176, 0.018727771937847137, 0.0055600241757929325, -0.021615374833345413, 0.02870943769812584, -0.014097888953983784, 0.022725990042090416, -0.0073300693184137344, -0.024239206686615944, -0.015951229259371758, -0.00742030655965209, 0.0011357789626345038, 0.003741389373317361, 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It provides features like policy assignment, policy evaluation, and compliance reporting. Azure Policy supports various resource types, such as Azure Virtual Machines, Azure Storage, and Azure App Service. You can use Azure Policy to ensure compliance with your organization's standards, prevent non-compliant resources, and automate remediation. 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on-premises infrastructure. It provides features like continuous security assessments, threat protection, and security recommendations. Security Center supports various platforms, such as Windows, Linux, and Kubernetes. You can use Azure Security Center to detect and remediate threats, manage your security policies, and ensure compliance with industry regulations. 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It provides features like custom domains, DNS-based load balancing, and private access. Private DNS supports various Azure services, such as Azure Virtual Machines, Azure App Service, and Azure Kubernetes Service. You can use Azure Private DNS to build isolated environments, simplify your network management, and ensure the security of your DNS traffic. It also integrates with other Azure services, such as Azure Virtual Network and Azure Traffic Manager.", "category": "Networking", "titleVector": [-0.000622218125499785, -0.014289380982518196, -0.0036796540953218937, -0.018249422311782837, -0.005085053388029337, 0.028080295771360397, -0.03181879594922066, -0.01901097036898136, -0.001612228574231267, -0.02147561125457287, 0.016989409923553467, -0.006954303942620754, 0.006746609695255756, 0.0013794376282021403, -0.024452565237879753, 0.00596775533631444, 0.004223121330142021, 0.0017117487732321024, 0.019080201163887978, -0.0021236762404441833, -0.029935700818896294, 0.007933929562568665, 0.014552460983395576, -0.0028644532430917025, -0.008861632086336613, -0.007691619452089071, -0.017446337267756462, -0.021946385502815247, 0.026944899931550026, -0.01883096806704998, 0.042286600917577744, -0.01639401912689209, -0.021517150104045868, -0.010218569077551365, -0.000640824087895453, 0.004112351220101118, 0.00022932933643460274, 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applications. It provides features like automatic scaling, WebSocket support, and serverless integration. SignalR Service supports various programming languages, such as C#, JavaScript, and Java. You can use Azure SignalR Service to build chat applications, real-time dashboards, and collaborative tools. 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It provides features like consortium management, private transactions, and integration with Azure Logic Apps. Blockchain Service supports various blockchain protocols, such as Ethereum and Hyperledger Fabric. You can use Azure Blockchain Service to build secure and compliant applications, streamline your business processes, and improve trust and transparency. It also integrates with other Azure services, such as Azure Active Directory and Azure Key Vault.", "category": "Blockchain", "titleVector": [-0.006725526414811611, -0.022997410967946053, -0.020176580175757408, -0.03329413756728172, -0.03362763300538063, 0.013659489341080189, -0.03787972033023834, -0.005780617706477642, 0.012165699154138565, -0.01849519833922386, 0.015438140369951725, -0.0019627700094133615, 0.020412806421518326, -0.014951790682971478, -0.006753318011760712, 0.017202896997332573, 0.01226296927779913, 0.002846884774044156, 0.019620751962065697, 0.02492891438305378, -0.01998203992843628, 0.008226264268159866, 0.010512108914554119, 0.007135450374335051, 0.008941893465816975, 0.007858027704060078, 0.022552747279405594, -0.021552255377173424, 0.026902105659246445, -0.02084357477724552, 0.009080850519239902, -0.0015563202323392034, -0.022094188258051872, 0.012763215228915215, -0.021705107763409615, 0.004814865533262491, 0.01406246516853571, -0.020815782248973846, 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MySQL applications in Azure. It provides features like automatic backups, monitoring, and high availability. Database for MySQL supports various data types, such as JSON, spatial, and full-text. You can use Azure Database for MySQL to migrate your existing applications, build new applications, and ensure the performance and security of your data. It also integrates with other Azure services, such as Azure App Service and Azure Data Factory.", "category": "Databases", "titleVector": [-0.019562704488635063, -0.01738286018371582, -0.011891328729689121, -0.024090072140097618, -0.02779301255941391, 0.04669896885752678, -0.03702940419316292, -0.013148931786417961, -0.004419074859470129, -0.01149308867752552, 0.016907764598727226, -0.003943980671465397, 0.026311837136745453, -0.0011912289774045348, -0.014203920029103756, 0.0066128927282989025, 0.018808141350746155, 0.006812012754380703, 0.021868307143449783, -0.017802059650421143, -0.0177601408213377, 0.021532947197556496, 0.004366674926131964, 0.013379491865634918, -0.008908016607165337, 0.01773219369351864, -0.0048627289943397045, -0.019730383530259132, 0.02044302597641945, -0.00031658392981626093, 0.027695199474692345, -0.027834933251142502, -0.004632168915122747, -0.0039474740624427795, -0.0023667379282414913, 0.014909574761986732, -0.0028715254738926888, -0.012240663170814514, 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and secure relational database service that enables you to build and manage PostgreSQL applications in Azure. It provides features like automatic backups, monitoring, and high availability. Database for PostgreSQL supports various data types, such as JSON, spatial, and full-text. You can use Azure Database for PostgreSQL to migrate your existing applications, build new applications, and ensure the performance and security of your data. It also integrates with other Azure services, such as Azure App Service and Azure Data Factory.", "category": "Databases", "titleVector": [-0.004798676818609238, -0.012197213247418404, -0.01378755271434784, -0.01600019820034504, -0.028252728283405304, 0.04903777316212654, -0.022361556068062782, -0.0013656176161020994, -0.008580919355154037, -0.00911333691328764, 0.020190397277474403, -0.014824730344116688, 0.02801763452589512, 0.007267160341143608, -0.014769414439797401, 0.01071750558912754, 0.013220561668276787, -6.07721449341625e-05, 0.018116042017936707, -0.01272271666675806, -0.0051651461981236935, 0.00691797723993659, 0.01003296859562397, 0.010482411831617355, 0.003398486413061619, 0.027907002717256546, 0.0023906952701509, -0.021960515528917313, 0.02407635748386383, 0.0032014227472245693, 0.024657176807522774, -0.024767810478806496, -0.004826334770768881, -0.009943079203367233, -0.010848881676793098, -0.007709689438343048, -0.0020899137016385794, 0.005977602209895849, 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It provides features like automatic backups, monitoring, and high availability. Database for MariaDB supports various data types, such as JSON, spatial, and full-text. You can use Azure Database for MariaDB to migrate your existing applications, build new applications, and ensure the performance and security of your data. It also integrates with other Azure services, such as Azure App Service and Azure Data Factory.", "category": "Databases", "titleVector": [-0.015653399750590324, -0.014629216864705086, -0.004477343056350946, -0.02837265282869339, -0.03288459777832031, 0.038254640996456146, -0.03623395413160324, -0.010705486871302128, 0.00332340644672513, -0.012850736267864704, 0.022601239383220673, -0.009051568806171417, 0.008560237474739552, 0.011342140845954418, -0.012456286698579788, 0.014338569715619087, 0.010470201261341572, 0.0013719216221943498, 0.026089001446962357, -0.02056671306490898, -0.007203885819762945, 0.016054769977927208, 0.0034514295402914286, 0.011764271184802055, -0.011874993331730366, 0.016456138342618942, 0.0018840134143829346, -0.027237746864557266, 0.02012382261455059, -0.012061838060617447, 0.03199881687760353, -0.02626892551779747, -0.0037334258668124676, -0.002233481500297785, -0.004556925036013126, 0.005380423739552498, 0.01431088987737894, -0.010227995924651623, 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It provides features like automatic backups, monitoring, and high availability. SQL Managed Instance supports various data types, such as JSON, spatial, and full-text. You can use Azure SQL Managed Instance to migrate your existing applications, build new applications, and ensure the performance and security of your data. 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It provides features like automatic scaling, low-latency access, and multi-master replication. Cosmos DB supports various data models, such as key-value, document, graph, and column-family. You can use Azure Cosmos DB to build globally distributed applications, ensure high availability and performance, and manage your data at scale. It also integrates with other Azure services, such as Azure Functions and Azure App Service.", "category": "Databases", "titleVector": [-0.002028289483860135, -0.003025009064003825, -0.011465760879218578, -0.010852394625544548, -0.018540378659963608, 0.027922088280320168, -0.03100285865366459, -0.013654361478984356, 0.006402006838470697, -0.014372278936207294, 0.019279206171631813, -0.0034937462769448757, 0.0035094288177788258, 0.0024482361041009426, -0.007346450816839933, 0.012504300102591515, 0.023865509778261185, 0.0076810140162706375, 0.0059768324717879295, -0.007105983328074217, -0.009904465638101101, 0.003047661855816841, -0.004324926529079676, 0.01961376890540123, -0.007743744645267725, -0.005481957923620939, 0.019056163728237152, -0.01933496631681919, 0.028856078162789345, -0.009639603085815907, 0.037833523005247116, -0.020547758787870407, -0.003906722646206617, -0.012120947241783142, 0.002850757446140051, 0.010594502091407776, 0.01826157607138157, 0.011695772409439087, 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It provides features like automatic scaling, data movement, and integration with Azure Machine Learning. SQL Data Warehouse supports various data sources, such as Azure Blob Storage, Azure Data Lake Storage, and Azure SQL Database. You can use Azure SQL Data Warehouse to build data lakes, develop big data analytics solutions, and ensure the performance and security of your data. 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It provides features like real-time telemetry, dependency mapping, and live metrics. Application Insights supports various platforms, such as .NET, Java, Node.js, and Python. You can use Azure Application Insights to detect and diagnose issues, optimize your performance, and ensure the availability of your applications. 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It provides features like advanced querying, data visualization, and integration with Azure Monitor. Log Analytics supports various data types, such as performance counters, event logs, and custom logs. You can use Azure Log Analytics to detect and diagnose issues, optimize your performance, and ensure the security of your infrastructure. 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It provides features like device management, data visualization, and application templates. IoT Central supports various data sources, such as Azure IoT Hub, Azure Event Hubs, and Azure Blob Storage. You can use Azure IoT Central to build connected solutions, optimize your operations, and improve your decision-making. 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custom Linux-based operating system, and a cloud-based security service. It provides features like automatic updates, device attestation, and error reporting. Azure Sphere supports various hardware platforms, such as microcontrollers and development boards. You can use Azure Sphere to build secure and compliant IoT devices, protect your intellectual property, and ensure the security of your IoT ecosystem. It also integrates with other Azure services, such as Azure IoT Hub and Azure IoT Central.", "category": "Internet of Things", "titleVector": [0.007903712801635265, -0.008215701207518578, 0.005241409409791231, -0.028425632044672966, -0.007903712801635265, 0.03291827067732811, -0.024057790637016296, -0.015100250951945782, 0.010184695944190025, -0.0406833216547966, 0.013574972748756409, -0.005844587460160255, 0.003385076764971018, -0.001650939928367734, -0.012888598255813122, -0.0033556113485246897, 0.018428130075335503, 0.011300922371447086, 0.022837569937109947, -0.008174102753400803, -0.023974593728780746, 0.0024716435000300407, 0.01713857613503933, -0.002142322016879916, -0.007134140469133854, -0.007321333512663841, 0.0104204211384058, -0.0057960557751357555, 0.012313151732087135, -0.017013780772686005, 0.037605032324790955, -0.017374301329255104, -0.016958316788077354, -0.020327793434262276, -0.015488503500819206, 0.018899578601121902, 0.007758117746561766, -0.005487533751875162, 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It provides features like automatic scaling, device management, and integration with Azure Machine Learning. IoT Edge supports various programming languages, such as C#, Java, and Python. You can use Azure IoT Edge to build edge computing solutions, optimize your operations, and improve your decision-making. 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It provides features like VM compatibility assessment, performance-based sizing, and cost estimation. Azure Migrate supports various platforms, such as Windows, Linux, and VMware. You can use Azure Migrate to plan your migration, ensure the compatibility of your workloads, and optimize your costs. 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to migrate your databases to Azure with minimal downtime. It supports various source and target platforms, such as SQL Server, MySQL, PostgreSQL, and Azure SQL Database. Database Migration Service provides features like schema conversion, data migration, and performance monitoring. You can use Azure Database Migration Service to migrate your databases, ensure the compatibility of your workloads, and minimize your migration risks. It also integrates with other Azure services, such as Azure Migrate and Azure SQL Managed Instance.", "category": "Databases", "titleVector": [-0.015321911312639713, -0.02774101123213768, -0.007934805937111378, -0.0029952351469546556, -0.02122338116168976, 0.041543055325746536, -0.04222768172621727, -0.016102384775877, 0.0019597394857555628, -0.014870058745145798, 0.007619878277182579, -0.0009062725584954023, 0.02624852955341339, -0.0012862394796684384, -0.005483847577124834, -0.0008733249851502478, 0.01762225106358528, -0.007606185507029295, 0.011666012927889824, -0.005737158935517073, -0.00943413469940424, 0.011748167686164379, 0.011173082515597343, 0.014322358183562756, -0.0010380629682913423, 0.011980940587818623, 0.015499914065003395, -0.025851447135210037, 0.03858547285199165, 0.01052953489124775, 0.02266109362244606, -0.03058905340731144, -0.008372966200113297, -0.012980492785573006, -0.012391715310513973, -0.006685364991426468, 0.00487110810354352, -0.014144356362521648, 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It provides features like environment templates, policy assignment, and RBAC configuration. Blueprints support various Azure services, such as Azure Virtual Machines, Azure Storage, and Azure App Service. You can use Azure Blueprints to ensure compliance with your organization's standards, automate your environment creation, and simplify your infrastructure management. It also integrates with other Azure services, such as Azure Policy and Azure Resource Manager.", "category": "Management + Governance", "titleVector": [-0.007279318757355213, -0.012521257624030113, 0.0096689248457551, -0.02917252667248249, -0.025014888495206833, 0.026879610493779182, -0.035857897251844406, -0.00544222304597497, 0.02428281307220459, -0.023978933691978455, 0.009958992712199688, 0.002738377545028925, 0.00547675509005785, 0.009717268869280815, -0.009378856979310513, -0.004109292756766081, 0.00883325282484293, 0.001631631050258875, 0.013709153980016708, -0.01368152815848589, -0.0300565417855978, 0.021824143826961517, 0.018467646092176437, -0.020580995827913284, -0.002935209311544895, 0.011547458358108997, 0.015732722356915474, -0.02628566138446331, 0.026824358850717545, -0.016906805336475372, 0.04715672507882118, -0.015622220002114773, -0.00342556182295084, -0.02096775360405445, 0.002173781394958496, 0.00864678155630827, -0.009012819267809391, 0.01058056578040123, 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It provides features like automatic scaling, rolling updates, and integration with Azure Active Directory. AKS supports various container runtimes, such as Docker and containerd. You can use Azure Kubernetes Service to build microservices, modernize your existing applications, and ensure high availability and scalability. 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infrastructure. It provides features like automatic scaling, custom domains, and integration with Azure Logic Apps. ACI supports various container runtimes, such as Docker and containerd. You can use Azure Container Instances to build microservices, modernize your existing applications, and ensure high availability and scalability. 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It provides features like geo-replication, webhooks, and integration with Azure Active Directory. Container Registry supports various container formats, such as Docker and Open Container Initiative (OCI). You can use Azure Container Registry to build and deploy your containerized applications, ensure the security of your images, and automate your container lifecycle. It also integrates with other Azure services, such as Azure Kubernetes Service and Azure DevOps.", "category": "Containers", "titleVector": [0.000528228934854269, -0.03323778882622719, 0.008709005080163479, -0.027359548956155777, -0.01202736608684063, 0.0240411888808012, -0.035025641322135925, 0.0021010644268244505, 0.018122315406799316, -0.007781218271702528, 0.03266892582178116, -0.01923295110464096, 0.009927994571626186, -0.013652686029672623, -0.016564717516303062, 0.0008621813612990081, 0.014153826050460339, -0.009704513475298882, 0.014668511226773262, -0.013029647059738636, -0.023323338478803635, 0.026370814070105553, -0.003562159137800336, 0.030908163636922836, -0.020086243748664856, -0.012684266082942486, 0.008790271356701851, -0.0329127237200737, 0.0372198224067688, -0.030339302495121956, 0.03340031951665878, -0.014370535500347614, -0.021251056343317032, -0.0011284120846539736, 0.00033225936931557953, -0.010496856644749641, 0.0007656780071556568, -0.029337022453546524, 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It provides features like collaborative notebooks, job scheduling, and integration with Azure Machine Learning. Databricks supports various data sources, such as Azure Blob Storage, Azure Data Lake Storage, and Azure Cosmos DB. You can use Azure Databricks to build data lakes, develop big data analytics solutions, and train machine learning models. 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enables you to build event-driven and serverless applications. It provides features like event filtering, custom event topics, and integration with Azure Functions. Event Grid supports various event sources, such as Azure Blob Storage, Azure Event Hubs, and custom applications. You can use Azure Event Grid to build reactive applications, integrate with other Azure services, and process and route events at scale. 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It provides features like cost analysis, budgeting, and alerting. Cost Management supports various Azure services, such as Azure Virtual Machines, Azure Storage, and Azure App Service. You can use Azure Cost Management to gain insights into your spending, ensure the efficient use of your resources, and control your cloud costs. 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It provides features like key-value storage, versioning, and access control. App Configuration supports various platforms, such as .NET, Java, Node.js, and Python. You can use Azure App Configuration to build and deploy your applications, ensure the consistency of your settings, and improve your application lifecycle. 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It provides features like custom domains, SSL certificates, and integration with Azure Functions. Static Web Apps supports various frameworks, such as React, Angular, and Vue.js. You can use Azure Static Web Apps to build and deploy your web applications, ensure high performance and security, and simplify your development workflow. It also integrates with other Azure services, such as Azure App Service and Azure CDN.", "category": "Web", "titleVector": [0.012017587199807167, 0.0068756816908717155, 0.021392563357949257, -0.011325474828481674, 0.005019562318921089, 0.020763371139764786, -0.052656468003988266, -0.02026001550257206, 0.024944009259343147, -0.026607874780893326, 0.010060098022222519, -0.005935387685894966, 0.016233181580901146, -0.0014742342755198479, -0.008130572736263275, 0.017155997455120087, 0.0037821494042873383, 0.0005916162626817822, -0.0020501206163316965, -0.005802558269351721, -0.018931720405817032, 0.008536051958799362, 0.009074361994862556, -0.0038066180422902107, -0.019449057057499886, 0.021630259230732918, -0.0042190891690552235, -0.029446234926581383, 0.01348570454865694, -0.009563734754920006, 0.03145965188741684, -0.011814847588539124, -0.015450185164809227, 0.013066242448985577, -0.009773465804755688, 0.0074594332836568356, -0.009144272655248642, -0.015799736604094505, 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It provides features like delegated access, centralized management, and multi-tenant reporting. Lighthouse supports various Azure services, such as Azure Virtual Machines, Azure Storage, and Azure App Service. You can use Azure Lighthouse to build managed service offerings, improve your operational efficiency, and ensure the security and compliance of your customers' environments. 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machine learning models at scale. It provides features like automated machine learning, data labeling, and model management. Machine Learning supports various frameworks, such as TensorFlow, PyTorch, and Scikit-learn. You can use Azure Machine Learning to develop predictive analytics solutions, improve your decision-making, and gain insights into your data. It also integrates with other Azure services, such as Azure Databricks and Azure Synapse Analytics.", "category": "AI + Machine Learning", "titleVector": [-0.018198633566498756, -0.018526537343859673, 0.003907514736056328, -0.02298055775463581, -0.01440042071044445, 0.024333158507943153, -0.022324752062559128, -0.002934051677584648, 0.0033917499240487814, -0.024579087272286415, 0.028746191412210464, 0.007220704574137926, -0.00037849778891541064, -0.0033815030474215746, -0.021805571392178535, 0.008675775490701199, 0.021559642627835274, 0.008054125122725964, 0.008409353904426098, -0.005724645685404539, -0.02643720619380474, 0.017242249101400375, 0.022379402071237564, -0.013867578469216824, -0.009126642718911171, 0.0036786654964089394, 0.010349448770284653, -0.03724435344338417, 0.017105624079704285, -0.0005815160693600774, 0.03530425950884819, -0.025248555466532707, -0.01884077861905098, -0.005649500992149115, -0.000984563841484487, 0.007944824174046516, 0.015848660841584206, 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It provides features like computer vision, speech recognition, and natural language processing. Cognitive Services supports various platforms, such as .NET, Java, Node.js, and Python. You can use Azure Cognitive Services to build chatbots, analyze images and videos, and process and understand text. It also integrates with other Azure services, such as Azure Machine Learning and Azure Cognitive Search.", "category": "AI + Machine Learning", "titleVector": [-0.01295846700668335, -0.0041865818202495575, -0.00886812899261713, 6.0527985624503344e-05, -0.01244287844747305, 0.018286218866705894, -0.02934044413268566, -0.015440168790519238, 0.00312618725001812, -0.023015888407826424, 0.02793804369866848, 0.0023476481437683105, -0.0037294263020157814, -0.005166200455278158, -0.017021307721734047, -0.000809474557172507, 0.021407250314950943, -0.003029943909496069, 0.0063245571218431, -0.024775763973593712, -0.017681261524558067, 0.009603702463209629, 0.00814630463719368, 0.006341743282973766, -0.009507458657026291, -0.0003123609349131584, 0.004592178389430046, -0.02975291572511196, 0.022025957703590393, -0.017956241965293884, 0.026274409145116806, -0.029890406876802444, -0.034455087035894394, -0.01897367089986801, 0.012621616013348103, 0.006572039797902107, 0.0012391319032758474, 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chatbots for your applications. It provides features like natural language understanding, multi-channel support, and integration with Azure Cognitive Services. Bot Service supports various platforms, such as .NET, Java, Node.js, and Python. You can use Azure Bot Service to build conversational applications, improve user engagement, and automate customer support. 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machine learning models at scale. It provides features like automatic scaling, job scheduling, and integration with popular deep learning frameworks, such as TensorFlow, PyTorch, and Caffe. Batch AI supports various platforms, such as .NET, Java, Node.js, and Python. You can use Azure Batch AI to train and deploy your machine learning models, improve your decision-making, and gain insights into your data. 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It provides features like map rendering, geocoding, route planning, and spatial analytics. Azure Maps supports various platforms, such as web, mobile, and IoT devices. You can use Azure Maps to build mapping applications, visualize and analyze your spatial data, and improve your decision-making. 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It provides features like data validation, versioning, and integration with Azure Active Directory. API for FHIR supports various data types, such as clinical, imaging, and administrative data. You can use Azure API for FHIR to build healthcare applications, ensure the security and compliance of your health data, and streamline your data management. It also integrates with other Azure services, such as Azure Machine Learning and Azure IoT Central.", "category": "Healthcare", "titleVector": [0.015139064751565456, -0.0006379162659868598, -0.001892383093945682, -0.02549223229289055, -0.025506185367703438, 0.025729434564709663, -0.009488077834248543, -0.005256813485175371, 0.009481101296842098, -0.024822484701871872, 0.014915816485881805, -0.02373414672911167, 0.03186877816915512, -0.0002779710339382291, -0.024738768115639687, -0.007806734647601843, 0.02094353549182415, -0.020064493641257286, 0.013122848235070705, -0.01622740365564823, -0.026482898741960526, 0.014762332662940025, 0.01763666234910488, 0.002312718890607357, -0.016185544431209564, 0.017106445506215096, -0.010576415807008743, -0.03306874260306358, 0.006348640192300081, -0.026008496060967445, 0.031171126291155815, -0.01841803267598152, -0.001417107181623578, -0.017232023179531097, 0.016032060608267784, 0.008902049623429775, 0.005427738651633263, 0.001242693979293108, 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It provides features like automatic scaling, data prefetching, and integration with Azure Blob Storage. HPC Cache supports various file systems, such as NFS and SMB. You can use Azure HPC Cache to build high-performance computing applications, optimize your data access, and ensure the performance and reliability of your workloads. It also integrates with other Azure services, such as Azure Virtual Machines and Azure Storage.", "category": "Storage", "titleVector": [-0.008193026296794415, 0.0040616197511553764, 0.007209025789052248, -0.04044870659708977, -0.004954896867275238, 0.009756261482834816, -0.02142469398677349, -0.013454986736178398, -0.00285953376442194, -0.03285584971308708, 0.035061128437519073, -0.011563751846551895, 0.002854299731552601, -0.012184858322143555, -0.007892941124737263, -0.004120938945561647, 0.011682390235364437, -0.020782651379704475, 0.020182481035590172, -0.019358990713953972, -0.02637959085404873, -0.011507921852171421, -0.0012439582496881485, 0.009177027270197868, -0.03070640191435814, 0.0009142133640125394, 0.023113546893000603, -0.02471865341067314, 0.01571609452366829, -0.009951665997505188, 0.025472356006503105, -0.027803251519799232, -0.00435123685747385, -0.023211248219013214, -2.4234723241534084e-05, 0.007906898856163025, 0.005729535594582558, 0.004047662019729614, 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It provides features like quantum hardware, quantum simulators, and quantum optimization algorithms. Azure Quantum supports various programming languages, such as Q#, Python, and C#. You can use Azure Quantum to explore quantum computing, develop quantum algorithms, and solve complex optimization problems. 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other organizations using Azure. It provides features like data snapshotting, change tracking, and access control. Data Share supports various data sources, such as Azure Blob Storage, Azure Data Lake Storage, and Azure SQL Database. You can use Azure Data Share to collaborate with your partners, improve your data governance, and ensure the security of your data. It also integrates with other Azure services, such as Azure Synapse Analytics and Azure Data Factory.", "category": "Analytics", "titleVector": [-0.01214022096246481, -0.02083347551524639, 0.025231806561350822, -0.022308776155114174, -0.0286787748336792, 0.02262589894235134, -0.04475543275475502, -0.014559992589056492, 0.003784770844504237, -0.031215742230415344, 0.023425593972206116, 0.005663368385285139, 0.019220294430851936, -0.003639998147264123, -0.011409464292228222, -0.0019561543595045805, 0.0099065862596035, -0.01888938434422016, 0.025645442306995392, -0.01756574958562851, -0.013553477823734283, 0.0011211263481527567, 0.005542724393308163, 0.0025352449156343937, 5.434360355138779e-05, 0.0007798764854669571, 0.01996483840048313, -0.015111507847905159, 0.028871804475784302, -0.013553477823734283, 0.04141876846551895, -0.0345248319208622, -0.007052496541291475, -0.007404087111353874, 0.003510736860334873, 0.0022422526963055134, -0.0030126499477773905, -0.004063975065946579, 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It provides features like consistent APIs, hybrid application development, and integration with Azure Active Directory. Azure Stack Hub supports various Azure services, such as Azure Virtual Machines, Azure Storage, and Azure App Service. You can use Azure Stack Hub to build hybrid applications, ensure the compliance of your workloads, and simplify your infrastructure management. 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services and AI workloads on-premises or at the edge. It provides features like hardware-accelerated machine learning, local caching, and integration with Azure IoT Hub. Azure Stack Edge supports various Azure services, such as Azure Functions, Azure Machine Learning, and Azure Kubernetes Service. You can use Azure Stack Edge to build edge computing applications, optimize your data processing, and ensure the security and compliance of your workloads. 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groups, and access to your applications and resources. It provides features like single sign-on (SSO), multi-factor authentication (MFA), and conditional access. Azure AD supports various platforms, such as Windows, macOS, and Linux. You can use Azure Active Directory to secure your applications, ensure the compliance of your workloads, and simplify your identity management. It also integrates with other Azure services, such as Azure Virtual Machines and Azure App Service.", "category": "Security", "titleVector": [-0.011557268910109997, 0.0019347495399415493, -0.01222666073590517, -0.017076341435313225, -0.016311321407556534, 0.02490413747727871, -0.03734937682747841, -0.03289586678147316, 0.006574391853064299, -0.03598326817154884, 0.03786849603056908, -0.018155567348003387, 0.0060142879374325275, 0.016652848571538925, -0.02762269228696823, -0.013066817075014114, 0.013558615930378437, -0.018742993474006653, 0.018947908654808998, -0.017568141222000122, -0.027595369145274162, -0.0037158119957894087, -0.0013831837568432093, 0.0018596136942505836, -0.0022438312880694866, 0.015587285161018372, -0.0008303371723741293, -0.0220626350492239, 0.02846967801451683, -0.024999765679240227, 0.042294684797525406, -0.026680076494812965, -0.00920073315501213, -0.0070013003423810005, -0.002646832959726453, 0.018319500610232353, -0.0006762231350876391, 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a private connection. It provides features like low latency, high bandwidth, and integration with Azure Virtual Network. ExpressRoute supports various connectivity models, such as point-to-point, MPLS, and SD-WAN. You can use Azure ExpressRoute to build hybrid applications, ensure the performance and security of your data in transit, and improve your network reliability. It also integrates with other Azure services, such as Azure VPN Gateway and Azure Traffic Manager.", "category": "Networking", "titleVector": [-0.00614149309694767, -0.007422958500683308, 0.0006028171628713608, -0.0011468436568975449, -0.017272522673010826, 0.013952980749309063, -0.025383928790688515, -0.035253942012786865, 0.029337387531995773, -0.018145009875297546, -0.0016665871953591704, -0.024116095155477524, -0.02474319562315941, -0.0014714703429490328, -0.021784918382763863, 0.0027537881396710873, 0.0162364449352026, -0.0040079886093735695, 0.007354795467108488, 0.005565514788031578, -0.0258201714605093, 0.003125276882201433, 0.006724287290126085, -0.029228325933218002, -0.0016981125809252262, 0.017245257273316383, -0.0068810624070465565, -0.007975079119205475, 0.033427171409130096, -0.030891504138708115, 0.022657405585050583, -0.029719099402427673, -0.004042070358991623, -0.021716754883527756, 0.00357856135815382, 0.02329813875257969, 0.00427723303437233, 0.0005840723169967532, 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It provides features like private IP addresses, data exfiltration protection, and integration with Azure Private DNS. Private Link supports various Azure services, such as Azure Storage, Azure SQL Database, and Azure App Service. You can use Azure Private Link to build isolated environments, ensure the security of your data in transit, and simplify your network management. It also integrates with other Azure services, such as Azure Virtual Network and Azure Firewall.", "category": "Networking", "titleVector": [-0.0030580866150557995, -0.007597003132104874, 0.012969317846000195, -0.014684325084090233, 0.0009470425429753959, 0.005465296562761068, -0.03785415366292, -0.0056064920499920845, 0.016172043979167938, -0.02573200687766075, 0.011949955485761166, -0.005100254900753498, -0.0028221867978572845, 0.0008928028400987387, -0.019643384963274002, -0.002445091726258397, 0.007004671264439821, -0.002705097896978259, 0.02778450772166252, 0.01205326896160841, -0.03245428949594498, -0.001059826696291566, -0.001652158796787262, -0.0033335897605866194, 0.006491546519100666, 0.0016857357695698738, -0.0016048066318035126, -0.02788093313574791, 0.03992042690515518, -0.026007510721683502, 0.04242750629782677, -0.019505633041262627, -0.02523610182106495, -0.004421827849000692, -0.0005355095490813255, -0.0014326170785352588, -0.0022832334507256746, -0.011013244278728962, 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It provides features like automated site-to-site VPN, hub-and-spoke topology, and integration with Azure Firewall. Virtual WAN supports various Azure services, such as Azure Virtual Machines, Azure Storage, and Azure App Service. You can use Azure Virtual WAN to build hybrid applications, ensure the performance and security of your data in transit, and improve your network reliability. It also integrates with other Azure services, such as Azure ExpressRoute and Azure Traffic Manager.", "category": "Networking", "titleVector": [-0.008855834603309631, -0.011252441443502903, 0.0033303266391158104, 0.02101639099419117, -0.012918458320200443, 0.03138120099902153, -0.04902459308505058, -0.027803361415863037, 0.01876317337155342, -0.0403667651116848, 0.021835744380950928, 0.019309407100081444, -0.0005120953428559005, -0.014912215992808342, 0.004851249512284994, 0.007551698945462704, 0.005646704230457544, -0.010105347260832787, 0.013847057707607746, -0.008835351094603539, -0.042524393647909164, 0.0003736162034329027, -0.002664602594450116, -0.010904216207563877, -0.022873591631650925, 0.03299259394407272, -0.008316428400576115, -0.020470157265663147, 0.03241904824972153, -0.011703085154294968, 0.028568090870976448, -0.016346082091331482, -0.011341203935444355, -0.005523801315575838, 0.010979323647916317, 0.016755759716033936, 0.005612564738839865, -0.0087329326197505, 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that enables you to protect and recover your applications and data from various types of failures. It provides features like automated failover, recovery plans, and integration with Azure Backup. Site Recovery supports various platforms, such as Windows, Linux, and VMware. You can use Azure Site Recovery to ensure the availability of your applications, maintain your business continuity, and automate your disaster recovery process. It also integrates with other Azure services, such as Azure Virtual Machines and Azure Storage.", "category": "Management + Governance", "titleVector": [-0.00505070062354207, -0.006929146125912666, 0.012017900124192238, -0.019054286181926727, -0.012612913735210896, 0.030913054943084717, -0.034344762563705444, -0.031217480078339577, 0.027204595506191254, -0.004210070241242647, 0.019510924816131592, -0.002769236918538809, -0.0014589951606467366, 0.003006204729899764, -0.011478235945105553, -0.010903977788984776, 0.011346778832376003, 0.014723137952387333, 0.006015868857502937, -0.012993445619940758, -0.024340225383639336, 0.008752241730690002, 7.648481550859287e-05, -0.008689972572028637, 0.0003740458923857659, -0.002186330733820796, 0.00016442884225398302, -0.026166779920458794, 0.02557176537811756, -0.006168081425130367, 0.020700953900814056, -0.03686319664120674, -0.019358713179826736, -0.00878683477640152, -0.006759636104106903, 0.00047090864973142743, 0.001770339673385024, 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It provides features like automatic scaling, custom domains, and serverless integration. Web PubSub supports various programming languages, such as C#, JavaScript, and Java. You can use Azure Web PubSub to build chat applications, real-time dashboards, and collaborative tools. 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schedule, and manage your data workflows. It provides features like data movement, data transformation, and integration with Azure Machine Learning. Data Factory supports various data sources, such as Azure Blob Storage, Azure Data Lake Storage, and Azure SQL Database. You can use Azure Data Factory to build data pipelines, develop big data analytics solutions, and migrate your data to Azure. It also integrates with other Azure services, such as Azure Synapse Analytics and Azure Data Lake Analytics.", "category": "Analytics", "titleVector": [-0.020028388127684593, -0.0179106667637825, -0.019447052851319313, -0.005183573812246323, -0.029039086773991585, 0.031253695487976074, -0.061178628355264664, -0.007972599007189274, 0.012685568071901798, -0.02033289708197117, 0.02870689518749714, 0.005411955527961254, 0.004453444387763739, -0.0017180535942316055, -0.012035026215016842, -0.010284099727869034, 0.010574767366051674, -0.013142331503331661, 0.011093816719949245, -0.01933632232248783, -0.01977924443781376, 0.019973022863268852, 0.004404999781399965, -0.00034538414911367, -0.021135693415999413, 0.007315136957913637, 0.015405387617647648, -0.027004411444067955, 0.024443767964839935, -0.009875780902802944, 0.031364426016807556, -0.028250129893422127, -0.006640372332185507, -0.0107616251334548, 0.017038661986589432, 0.01206962950527668, -0.01629123091697693, -0.006162846926599741, 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analytics platform that enables you to process and analyze large volumes of data. It provides features like collaborative notebooks, job scheduling, and integration with Azure Machine Learning. Data Bricks supports various data sources, such as Azure Blob Storage, Azure Data Lake Storage, and Azure Cosmos DB. You can use Azure Data Bricks to build data lakes, develop big data analytics solutions, and train machine learning models. 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your virtual machines. It provides features like private connectivity, secure RDP/SSH sessions, and browser-based access. Bastion supports various Azure services, such as Azure Virtual Machines, Azure Virtual Network, and Azure Active Directory. You can use Azure Bastion to securely access your virtual machines, minimize your attack surface, and improve the security of your infrastructure. It also integrates with other Azure services, such as Azure Monitor and Azure Security Center.", "category": "Security", "titleVector": [-0.008845914155244827, -0.025790877640247345, -0.0016701717395335436, -0.011182442307472229, 0.00025373761309310794, 0.019158154726028442, -0.04198897257447243, -0.015225114300847054, 0.022913042455911636, -0.01414250023663044, 0.010661691427230835, 0.003960448317229748, 0.003467105096206069, -0.0049334303475916386, -0.017075151205062866, 0.004419531207531691, 0.018418138846755028, 0.008928138762712479, 0.013423041440546513, -0.0052246395498514175, -0.04456532001495361, 0.004457217175513506, 0.017431452870368958, 0.010140939615666866, 3.894390829373151e-05, -0.011011142283678055, 0.005875578615814447, -0.03453401103615761, 0.016992926597595215, -0.008448499254882336, 0.041906747967004776, -0.002213191706687212, -0.01766442134976387, -0.01234728004783392, -0.01739034242928028, 0.019884465262293816, 0.003174182726070285, -0.024721967056393623, 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