langchain-rag

langchain rag

langchain-ai 952 ↓ 12k updated 26d ago
Claude Code
View source ↗

What it does

  • Document Loaders: Ingest data from files, web, databases
  • Text Splitters: Break documents into chunks
  • Embeddings: Convert text to vectors
  • Vector Stores: Store and search embeddings
  • Chunk size/overlap
  • Embedding model
  • Number of results (k)

Derived from the skill's own SKILL.md documentation · extracted 2026-07-23

langchain rag

Source

Repository: https://github.com/langchain-ai/langchain-skills

langchain-rag FAQ

What does the langchain-rag skill do?

INVOKE THIS SKILL when building ANY retrieval-augmented generation (RAG) system. Covers document loaders, RecursiveCharacterTextSplitter, embeddings (OpenAI), and vector stores (Chroma, FAISS, Pinecone). Document Loaders: Ingest data from files, web, databases Text Splitters: Break documents into chunks

How do I install langchain-rag?

Run: npx -y skills add https://github.com/langchain-ai/langchain-skills --skill langchain-rag --agent claude-code — the source lives at github.com/langchain-ai/langchain-skills.

Maintain langchain-rag?

Let people know it's listed here — add the badge (live metrics, light/dark aware) or a plain link to your README or docs.

langchain-rag on getagentictools
[![langchain-rag on getagentictools](https://getagentictools.com/badge/skills/langchain-ai-langchain-skills-langchain-rag.svg)](https://getagentictools.com/skills/langchain-ai-langchain-skills-langchain-rag?ref=badge)
npx agentictools info skills/langchain-ai-langchain-skills-langchain-rag

The second line is the CLI lookup for this page — handy in READMEs and docs.