Build a RAG Chatbot With Your Own Data in Under an Hour

Step-by-step guide to building a Retrieval-Augmented Generation chatbot using LlamaIndex and a vector database.

RAG lets a chatbot answer from your own documents instead of guessing.

Load and Index

Split your documents into chunks, embed them, and store them in a vector database.

Query

Retrieve the closest chunks for each question and pass them to the model as context.