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