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langchain-rag

by langchain-ai/langchain-skills

INVOKE THIS SKILL when building ANY retrieval-augmented generation (RAG) system. Covers document loaders, RecursiveCharacterTextSplitter, embeddings (OpenAI),…

Skill content

Pipeline:

- Index: Load → Split → Embed → Store

- Retrieve: Query → Embed → Search → Return docs

- Generate: Docs + Query → LLM → Response

Key Components:

- 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
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