langchain-retriever
LangChain retriever implementation with various retrieval strategies for RAG applications
npx skills add a5c-ai/babysitter --skill langchain-retriever --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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
- Capabilities
- Target Processes
- Implementation Details
- Retriever Types
- Configuration Options
- Dependencies
What does the langchain-retriever skill do?
LangChain retriever implementation with various retrieval strategies for RAG applications
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill langchain-retriever --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.