Completed
04:01 - Full-text tutorial and source code on MLExpert.io
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Classroom Contents
Building a Local CAG System with Qwen3, Ollama and LangChain for Private Document AI Chatbots
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- 1 00:00 - Demo
- 2 00:22 - Welcome
- 3 01:21 - What is Cache-Augmented Generation CAG?
- 4 04:01 - Full-text tutorial and source code on MLExpert.io
- 5 04:45 - Our CAG architecture
- 6 05:16 - CAG vs RAG, which one to choose?
- 7 09:20 - Project structure and config Qwen3
- 8 11:12 - Minimal CAG application with prompt caching
- 9 13:59 - Loading document data PDF, Markdown, URLs
- 10 17:00 - Chatbot Ollama, LangChain, streaming with thinking, chat history, prompt with context
- 11 20:44 - App UI with Streamlit
- 12 26:17 - Test our CAG chat with PDF file
- 13 29:28 - Conclusion
