RAG: How to Build a Chatbot That Actually Knows Your Company
RAG (Retrieval-Augmented Generation) is the technique that transforms a generic LLM into an assistant that answers directly from your internal documents. This guide shows how the pipeline works — chunking, embedding, vector store, retrieval — and how to implement it today: without code using Claude Projects and Chatbase, or with a custom build using LangChain and LlamaIndex.
