langchain-rag
End-to-end RAG pipeline for document loading, vector storage, and retrieval using LangChain in Python and TypeScript.
Install
npx skills add https://github.com/langchain-ai/langchain-skills --skill langchain-ragStats
| Total installs | 2,643 |
| Weekly installs | 2.6K |
| GitHub stars | 438 |
| First seen | Mar 4, 2026 |
| Source | @langchain-ai/langchain-skills |
Summary
- Supports multiple document loaders (PDF, web pages, directories) and persistent vector stores (Chroma, FAISS, Pinecone) with configurable chunk size and overlap for optimal context preservation
- Includes similarity search, MMR (Maximal Marginal Relevance) retrieval, and metadata filtering to balance relevance and diversity in results
- Works with OpenAI embeddings and integrates seamlessly with LangChain agents and chat models for end-to-end RAG workflows
- Provides Python and TypeScript implementations with best-practice guidance on chunk sizing (500–1500 characters), consistent embedding models, and persistent storage to avoid data loss
Tags
Related skills
| Skill | Installs | vs langchain-rag |
|---|---|---|
| langchain-fundamentals | 2,717 | +74 |
| tushare | 2,879 | +236 |
| langgraph-persistence | 2,629 | -14 |
| langchain-dependencies | 2,474 | -169 |
| developing-genkit-js | 2,629 | -14 |
FAQ
- How many installs does langchain-rag have?
- langchain-rag has 2,643 total installs and 2.6K installs this week.
- Where is langchain-rag hosted?
- langchain-rag is published by @langchain-ai/langchain-skills at https://github.com/langchain-ai/langchain-skills.
- How many GitHub stars does langchain-rag have?
- langchain-rag has 438 GitHub stars.
- When was langchain-rag first indexed?
- OrangeBot.AI first indexed langchain-rag on Mar 4, 2026.
- How do I install langchain-rag?
- Run: npx skills add https://github.com/langchain-ai/langchain-skills --skill langchain-rag