支持使用 MongoDB Atlas 作为向量数据库 #345
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…t segmentation - Updated the dependency from `@node-rs/jieba` to `jieba-wasm` in package.json. - Refactored the text segmentation logic in `similarity.ts` to utilize the new `cut` function from `jieba-wasm`, enhancing compatibility and performance.
…ity.ts - Improved the BM25 similarity calculation by introducing term frequency maps for both documents. - Added a smoothing factor and adjusted the scoring formula to normalize against the theoretical maximum score. - Enhanced code readability and maintainability by restructuring the logic for term frequency and IDF calculations.
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Caution Review failedThe pull request is closed. WalkthroughThe pull request introduces MongoDB support for the vector store service. The changes extend the configuration interface and schema to include MongoDB-specific parameters like connection URL, database name, and collection name. A new module Changes
Sequence DiagramsequenceDiagram
participant App as Application
participant VectorStore as Vector Store Service
participant MongoDB as MongoDB Client
App->>VectorStore: Configure with MongoDB
VectorStore->>VectorStore: Import MongoDB Client
VectorStore->>MongoDB: Connect to Database
MongoDB-->>VectorStore: Connection Established
VectorStore->>VectorStore: Create Vector Store
App->>VectorStore: Add/Delete/Save Documents
VectorStore->>MongoDB: Perform Document Operations
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Actionable comments posted: 2
🧹 Nitpick comments (7)
packages/vector-store-service/src/vectorstore/lunavdb.ts (1)
67-76: Helpful extension for advanced vector store operations.By defining the
ExtendedVectorStoreInputinterface, you enable custom functionalities (similaritySearchVectorWithScoreFunction()andfreeFunction()) while still leveraging the common structure fromChatLunaSaveableVectorStoreInput. This design keeps the base interface flexible and open for specialized use cases or cleanup logic.It can be beneficial to add inline comments or docstrings for each optional method to clarify their intended usage for future maintainers.
+/** + * An interface that extends ChatLunaSaveableVectorStoreInput + * to incorporate advanced vector store operations. + */ interface ExtendedVectorStoreInput<T extends VectorStore> extends ChatLunaSaveableVectorStoreInput<T> { similaritySearchVectorWithScoreFunction?: ( store: T, query: number[], k?: number, filter?: object ) => Promise<[Document, number][]> freeFunction?: () => Promise<void> }packages/vector-store-service/src/vectorstore/faiss.ts (1)
143-143: Avoid type assertions by declaring the type explicitly.Rather than using
as ExtendedVectorStoreInput<FaissStore>, consider assigning the type to thewrapperStorevariable directly. This prevents potential unsafe assumptions.-} as ExtendedVectorStoreInput<FaissStore> +}) as const; +const wrapperStore: ExtendedVectorStoreInput<FaissStore> = new ChatLunaSaveableVectorStore<FaissStore>( + faissStore, + { + /* ... */ + } +);packages/vector-store-service/src/vectorstore/mongodb.ts (1)
9-9: Consider using a function-scoped logger instead of a global variableBy declaring
loggerin the global scope, there is a slight risk of unintended shared state or conflicts with other modules. Defining the logger within theapplyfunction enhances clarity and may help avoid scoping issues.packages/vector-store-service/src/vectorstore/milvus.ts (2)
15-23: Extended interface introduces consistent advanced similarity search
ExtendedVectorStoreInputunifies advanced search functionality across multiple backends. This helps keep your codebase consistent and modular.
214-217: Tweak parentheses for code clarityThe parentheses around
(filter ?? '')are unnecessary. Consider updating for stylistic clarity:- const filterStr = typeof filter === 'object' ? JSON.stringify(filter) : (filter ?? '') + const filterStr = typeof filter === 'object' ? JSON.stringify(filter) : filter ?? ''🧰 Tools
🪛 GitHub Check: CodeFactor
[warning] 217-217: packages/vector-store-service/src/vectorstore/milvus.ts#L217
Replace(filter·??·'')withfilter·??·''(prettier/prettier)packages/vector-store-service/src/index.ts (1)
85-85: Usage documentation includes MongoDB referenceLinking to the relevant documentation is helpful. Consider adding a short, direct example of how to configure MongoDB for an even smoother onboarding experience.
packages/vector-store-service/package.json (1)
64-64: Consider pinning the @langchain/mongodb version more strictlyThe
^0.1.0version constraint for@langchain/mongodbcould lead to breaking changes as 0.x versions typically indicate unstable APIs. Consider using a more strict version constraint like~0.1.0or even pinning to an exact version until the package reaches 1.0.0.- "@langchain/mongodb": "^0.1.0", + "@langchain/mongodb": "~0.1.0",
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📒 Files selected for processing (8)
packages/vector-store-service/package.json(2 hunks)packages/vector-store-service/src/index.ts(4 hunks)packages/vector-store-service/src/vectorstore.ts(2 hunks)packages/vector-store-service/src/vectorstore/faiss.ts(2 hunks)packages/vector-store-service/src/vectorstore/lunavdb.ts(3 hunks)packages/vector-store-service/src/vectorstore/milvus.ts(3 hunks)packages/vector-store-service/src/vectorstore/mongodb.ts(1 hunks)packages/vector-store-service/src/vectorstore/redis.ts(1 hunks)
🧰 Additional context used
🪛 GitHub Check: CodeFactor
packages/vector-store-service/src/vectorstore/milvus.ts
[warning] 217-217: packages/vector-store-service/src/vectorstore/milvus.ts#L217
Replace (filter·??·'') with filter·??·'' (prettier/prettier)
🔇 Additional comments (19)
packages/vector-store-service/src/vectorstore/lunavdb.ts (3)
3-3: Looks good! Import statements provide necessary VectorStore references.
The addition of these imports helps unify the usage of the VectorStore and SaveableVectorStore from the @langchain/core/vectorstores. This aligns with best practices for modular and maintainable code.
8-11: Ensures consistent interface usage across modules.
Importing ChatLunaSaveableVectorStore and ChatLunaSaveableVectorStoreInput from koishi-plugin-chatluna/llm-core/model/base allows for consistent extension and usage of shared vector store structures. This step is essential for code consistency across different vector store implementations.
134-134: Casting to ExtendedVectorStoreInput for specialized functionalities.
Casting the wrapper store to ExtendedVectorStoreInput<LunaDBVectorStore> ensures that advanced methods are accessible if provided, while preserving flexibility for other vector store implementations. This approach is scalable if more specialized behaviors or overrides are introduced in the future.
packages/vector-store-service/src/vectorstore/faiss.ts (2)
2-5: Imports are consistent with the plugin’s architecture.
It’s good to see that you're importing ChatLunaSaveableVectorStore and ChatLunaSaveableVectorStoreInput from their dedicated module. This helps keep your vector store logic well-structured and decoupled.
13-13: Ensure version alignment and availability of 'VectorStore'.
Double-check that the version of @langchain/core in your dependencies provides the VectorStore export. In many libraries, naming can evolve, so confirm that '@langchain/core/vectorstores' is the correct path and that it's compatible with your environment.
packages/vector-store-service/src/vectorstore/mongodb.ts (3)
45-74: Delete logic looks appropriate
Your deletableFunction properly handles deletion by either clearing all documents or selectively removing those matching the provided IDs. The overall approach appears correct.
83-89: Check Node.js version for crypto.randomUUID()
crypto.randomUUID() requires Node.js 15.0.0 or higher. If you must support older Node versions, provide a suitable polyfill or alternative ID generator.
101-111: User-friendly error messages for missing dependencies
Logging the original error and throwing a descriptive message helps ensure developers can quickly diagnose and install the missing mongodb package.
packages/vector-store-service/src/vectorstore/milvus.ts (2)
5-8: Imports are consistent with overall vector store enhancements
Bringing in ChatLunaSaveableVectorStore and ChatLunaSaveableVectorStoreInput supports the extended store logic neatly.
290-290: Coherent typing with the extended vector store
Casting to ExtendedVectorStoreInput<Milvus> maintains a clear contract for advanced store operations.
packages/vector-store-service/src/vectorstore.ts (2)
9-9: MongoDB import successfully added
Introducing the mongodb vector store import keeps this file consistent with the newly created mongodb.ts.
24-24: Verifying middleware order
Including 'mongodb' in the middlewares array is straightforward, but confirm that the order of these middlewares does not cause unintended interactions with other stores. Generally, this looks good.
packages/vector-store-service/src/index.ts (3)
30-32: Additional MongoDB fields added to Config
Declaring mongodbUrl, mongodbDbName, and mongodbCollectionName is necessary and aligns with MongoDB integration.
42-43: MongoDB now an option in vectorStore schema
Extending the array of valid vector stores with 'mongodb' broadens user choice and is consistent with your new implementation.
61-67: Sensible defaults for MongoDB
Providing usable default values for mongodbUrl, mongodbDbName, and mongodbCollectionName helps users quickly get started without extensive setup.
packages/vector-store-service/src/vectorstore/redis.ts (1)
108-108: Unused parameter renamed for clarity
Renaming the function parameter to _store clarifies that it’s intentionally unused, aligning with common TypeScript/JavaScript best practices.
packages/vector-store-service/package.json (3)
74-75: LGTM! Dev dependencies are well configured
The version constraints for both koishi and mongodb are appropriate and consistent with the project's dependency management style.
Line range hint 42-54: Version pinning strategy looks good
The use of resolutions/overrides to pin @langchain/core to version 0.3.18 across all dependency trees is a good practice, especially when integrating new vector store backends like MongoDB that depend on the LangChain ecosystem.
81-92: Verify compatibility with chatluna plugin
The configuration for optional MongoDB support looks good. However, let's verify the compatibility between the MongoDB integration and the required chatluna plugin version.
✅ Verification successful
Let me gather more information to verify the compatibility.
Based on the analysis of the codebase, I can now provide the final response:
MongoDB integration is compatible with chatluna plugin
The code analysis shows that the MongoDB integration is properly implemented as a vector store provider and follows the same pattern as other vector stores (FAISS, Milvus, etc.). The implementation:
- Correctly imports and uses the required interfaces from
koishi-plugin-chatluna - Implements the necessary vector store registration through
plugin.registerVectorStore('mongodb', ...) - Extends
ChatLunaSaveableVectorStorewith proper MongoDB-specific functionality - Uses the same pattern for optional dependencies as other vector stores in the codebase
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Description: Check for potential compatibility issues between MongoDB integration and chatluna plugin
# Check if there are any MongoDB-related imports or usage in chatluna plugin
echo "Checking for MongoDB dependencies in chatluna plugin..."
rg -l "mongodb" $(fd -t f "package.json" | grep "chatluna" | grep -v "vector-store-service")
# Look for vector store related interfaces or types in chatluna that might need updates
echo "Checking for vector store interfaces..."
ast-grep --pattern 'interface $_ {
$$$
mongodb$_?: $_
$$$
}'
Length of output: 559
Script:
#!/bin/bash
# Check for MongoDB-related code in vector store service
echo "Checking MongoDB implementation in vector store service..."
rg -A 5 "koishi-plugin-chatluna" packages/vector-store-service/src/
# Check package.json of chatluna plugin if available
echo "Checking chatluna plugin dependencies..."
fd -t f "package.json" | grep "chatluna" | xargs cat
# Look for vector store type definitions
echo "Checking vector store types..."
rg -A 10 "VectorStore|VectorStoreInterface" packages/vector-store-service/src/
Length of output: 37648
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…tore service - Introduced new MongoDB configuration parameters: mongodbUrl, mongodbDbName, and mongodbCollectionName. - Updated the configuration schema to include MongoDB as a supported vector store option. - Added documentation link for MongoDB configuration in the usage section.
Hoshino-Yumetsuki
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Summary by CodeRabbit
New Features
Documentation
Improvements