Build 100% Local Chatbot with Gemma 3, Ollama and LangChain | AI Assistant with Memory and Tool Use
Автор: Venelin Valkov
Загружено: 2025-03-15
Просмотров: 5842
Create your own personalized AI assistant that actually remembers you! This tutorial walks you through building a ChatGPT-like wellness coach that stores and recalls information about users - all running locally without any subscription fees. Using Gemma 3 and Qwen through Ollama, plus LangChain, LangGraph and SQLite, we'll implement a complete system with vector search memory, conversation history persistence, and Streamlit UI. Perfect for developers looking to understand how to build practical, useful AI applications without cloud dependencies.
Ollama models:
https://ollama.com/library/gemma3
https://ollama.com/library/qwen2.5
AI Bootcamp: https://www.mlexpert.io/
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GitHub repository: https://github.com/curiousily/AI-Boot...
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00:00 - Welcome
00:53 - App architecture
01:57 - Full-text tutorial and source code on MLExpert.io
02:27 - Gemma 3 on Ollama
03:14 - Project overview, config and dependencies
05:55 - Model (LLM and embeddings) initialization
06:24 - Database (SQLite) connection with sqlite-vec
07:42 - Chatbot workflow
20:38 - Memory management
25:38 - Custom tool and tool calling
28:42 - UI with Streamlit
33:30 - App demo
35:44 - Conclusion
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#gemma #langchain #ollama #chatgpt #python #artificialintelligence #streamlit #langgraph
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