langchain-rag
langchain rag
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 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.
[](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.