langchain-retriever ยท diff
git:20260507.313363d to git:20260507.50823d8
4 added, 0 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:natural-language-processing]
+ 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