langchain-retriever ยท diff
git:20260507.44b06c0 to git:20260601.da7723a
59 added, 59 removed. Audit A to A.
- ---
- name: langchain-retriever
- description: LangChain retriever implementation with various retrieval strategies for RAG applications
- allowed-tools:
- - Read
- - Write
- - Edit
- - Bash
- - Glob
- - Grep
- graph:
- domains: [domain:software-engineering]
- specializations: [specialization:ai-agents-conversational]
- skillAreas: [skill-area:retrieval-augmented-generation, skill-area:search-indexing]
- roles: [role:ml-engineer, role:backend-engineer]
- workflows: [workflow:ml-model-lifecycle, workflow:feature-development]
-
- ---
-
- # LangChain Retriever Skill
-
- ## Capabilities
-
- - Implement various LangChain retriever types
- - Configure vector store retrievers
- - Set up multi-query retrievers for improved recall
- - Implement contextual compression retrievers
- - Design ensemble retrievers combining multiple strategies
- - Configure self-query retrievers for structured filtering
-
- ## Target Processes
-
- - rag-pipeline-implementation
- - advanced-rag-patterns
-
- ## Implementation Details
-
- ### Retriever Types
-
- 1. **VectorStoreRetriever**: Basic similarity search
- 2. **MultiQueryRetriever**: Generates query variations
- 3. **ContextualCompressionRetriever**: Filters and compresses results
- 4. **EnsembleRetriever**: Combines multiple retrievers
- 5. **SelfQueryRetriever**: Structured metadata filtering
- 6. **ParentDocumentRetriever**: Returns parent chunks
-
- ### Configuration Options
-
- - Search type (similarity, mmr, similarity_score_threshold)
- - Number of documents to retrieve (k)
- - Score thresholds
- - Metadata filtering
- - Compression settings
-
- ### Dependencies
-
- - langchain
- - langchain-community
- - Vector store client
+ ---
+ name: langchain-retriever
+ description: LangChain retriever implementation with various retrieval strategies for RAG applications
+ allowed-tools:
+ - Read
+ - Write
+ - Edit
+ - Bash
+ - Glob
+ - Grep
+ graph:
+ domains: [domain:software-engineering]
+ specializations: [specialization:ai-agents-conversational]
+ skillAreas: [skill-area:retrieval-augmented-generation, skill-area:search-indexing]
+ roles: [role:ml-engineer, role:backend-engineer]
+ workflows: [workflow:ml-model-lifecycle, workflow:feature-development]
+
+ ---
+
+ # LangChain Retriever Skill
+
+ ## Capabilities
+
+ - Implement various LangChain retriever types
+ - Configure vector store retrievers
+ - Set up multi-query retrievers for improved recall
+ - Implement contextual compression retrievers
+ - Design ensemble retrievers combining multiple strategies
+ - Configure self-query retrievers for structured filtering
+
+ ## Target Processes
+
+ - rag-pipeline-implementation
+ - advanced-rag-patterns
+
+ ## Implementation Details
+
+ ### Retriever Types
+
+ 1. **VectorStoreRetriever**: Basic similarity search
+ 2. **MultiQueryRetriever**: Generates query variations
+ 3. **ContextualCompressionRetriever**: Filters and compresses results
+ 4. **EnsembleRetriever**: Combines multiple retrievers
+ 5. **SelfQueryRetriever**: Structured metadata filtering
+ 6. **ParentDocumentRetriever**: Returns parent chunks
+
+ ### Configuration Options
+
+ - Search type (similarity, mmr, similarity_score_threshold)
+ - Number of documents to retrieve (k)
+ - Score thresholds
+ - Metadata filtering
+ - Compression settings
+
+ ### Dependencies
+
+ - langchain
+ - langchain-community
+ - Vector store client