Build 100% Local Chatbot with Gemma 3, Ollama and LangChain - AI Assistant with Memory and Tool Use

This tutorial guides you through building a fully local AI assistant with memory capabilities, similar to ChatGPT but without subscription fees. Learn to create a wellness coach chatbot that remembers user information using Gemma 3 and Qwen models via Ollama, combined with LangChain, LangGraph, and SQLite for persistent storage. The 37-minute video covers the complete development process from architecture design to implementation, including vector search memory, conversation history persistence, custom tool creation, and a Streamlit user interface. Perfect for developers wanting to build practical AI applications without cloud dependencies. The tutorial breaks down each component systematically, starting with project setup and configuration, moving through model initialization, database connections with sqlite-vec, chatbot workflow implementation, memory management, tool calling capabilities, and finally the user interface development, concluding with a live demonstration of the finished application.