langchain-retriever | babysitter | ClaudePluginHub

Skill

Community

langchain-retriever

From babysitter

411

Description

LangChain retriever implementation with various retrieval strategies for RAG applications

AI Summary

Implements various LangChain retrieval strategies for RAG pipelines, including vector stores and multi-query systems.

Install

1

Run in your terminal

$

npx claudepluginhub a5c-ai/babysitter

Tool Access

This skill is limited to using the following tools:

ReadWriteEditBashGlobGrep

Supporting Assets

View in Repository

README.md

Skill Content

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

VectorStoreRetriever: Basic similarity search
MultiQueryRetriever: Generates query variations
ContextualCompressionRetriever: Filters and compresses results
EnsembleRetriever: Combines multiple retrievers
SelfQueryRetriever: Structured metadata filtering
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

Links

GitHub Stats

21 forks

Updated 1 month ago

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