RAG for Your Docs

Stephen Blum · Intermediate ·🔍 RAG & Vector Search ·1w ago

Skills: RAG Basics85%

Key Takeaways

Builds a RAG pipeline using LangChain and Pinecone to answer questions over documents

Original Description

RAG, or Retrieval Augmented Generation, lets you talk to your own data. Think of it like Google search for your company or personal documents, with an AI that answers in plain text. You ask a question, like which LLMs are restricted because of compliance. The system searches your documents, pulls the most relevant passages, and adds them to your question. Then it sends that full prompt to the language model, which replies with a clear, human sounding answer based on what it found.

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