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Tutorial: Building a Basic RAG Pipeline with LangChain

A hands-on tutorial building a basic retrieval-augmented generation pipeline with LangChain, from document ingestion through a working question-answering endpoint.

What you’ll learn

Document chunking and embedding, setting up a vector store, and wiring a retrieval chain to a language model with source citation included in the response.

Rajesh Menon
AI & Data Platforms Lead
Marcus Webb Technical Reviewer
Lead DevOps Engineer

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