Build a Private RAG System with Local Llama

Learn how to build a private RAG (Retrieval-Augmented Generation) system using a locally deployed Llama model. This step-by-step guide covers document processing, embeddings, vector databases, semantic search, and prompt construction to help an AI assistant answer questions using sensitive internal documents without sending data to external AI services.