Build 100% Local AI Agent to Chat with Your Files - Private AI Knowledge Base with MCP and RAG

Learn to build CogVault, a completely local AI agent that enables you to chat with your PDFs, notes, and documents without sending any data to the cloud. Master the integration of local LLM using Qwen3 with Ollama, and discover how to create custom MCP (Model Context Protocol) servers and tools for enhanced functionality. Explore real-time AI responses with proper citations and implement semantic document search using embeddings through RAG (Retrieval-Augmented Generation) techniques. Develop skills in PDF to Markdown conversion using Docling and create an intuitive user interface with Streamlit. Build an AI agent using LangGraph that incorporates MCP tools for sophisticated document interaction capabilities. Set up project dependencies, configure local LLM environments, and implement MCP server inspection tools. Design a comprehensive UI layout with file upload functionality and learn to render dynamic text responses from your AI agent. Practice uploading files, utilizing tool calling mechanisms, and engaging in natural conversations with your document collection through hands-on demonstrations of the complete system functionality.