I Built a Private Local AI Assistant That Searches Chats & Documents | Full Demo #localai

See a complete 54-minute demo of my private local AI assistant that can chat with a local LLM, read your documents, remember previous conversations, and search across your chats and files. In this video, I demonstrate how a real local AI assistant with RAG, persistent memory, document search, and conversation history works in practice. Unlike a basic chatbot, this AI assistant is designed to become a searchable personal knowledge system. I demonstrate how I can ask questions about information stored inside my own documents and retrieve relevant answers without manually searching through every file. In this full demo, you'll see features including persistent chat sessions, previous conversation history, document ingestion, AI document search, RAG retrieval, searchable chats and documents, local LLM inference, and private data workflows. The goal of this project is to show how you can build your own private AI assistant that works with your personal information while keeping much of the system under your own control. This is part of my Build Your Own Private AI Assistant series, where we build the system step by step—from PostgreSQL and persistent conversations to RAG, embeddings, document search, AI memory, testing, and deployment. Subscribe if you want to follow the complete build and learn practical AI engineering by creating real AI applications. Topics covered: Local AI Assistant • Private AI • RAG • AI Memory • Document Search • Persistent Chat • Local LLM • Ollama • Llama 3.2 • PostgreSQL • Vector Search • AI Engineering #LocalAI #PrivateAI #RAG #AIAssistant #AIEngineering