Build a RAG System in Python: Step-by-Step with Claude API

What is RAG and Why You Need It

LLMs do not know your internal documents. RAG (Retrieval-Augmented Generation) retrieves relevant content from YOUR documents at query time and gives it to the LLM as context. The LLM answers based on YOUR data, not just its training.

Install Dependencies

## Complete RAG System

Add Streamlit UI

What Makes a Production RAG Better

This is a basic implementation. Production systems add: hybrid search (BM25 + vectors), reranking, query rewriting, and evaluation pipelines. See the RAG section in the AI Academy for advanced patterns.