Local RAG System with DeepSeek-R1, Ollama and LangChain for Document Analysis

Local RAG System with DeepSeek-R1, Ollama and LangChain for Document Analysis

Venelin Valkov via YouTube Direct link

16:49 - Chatbot Ollama, LangGraph workflow, streaming, sources, chat history

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8 of 11

16:49 - Chatbot Ollama, LangGraph workflow, streaming, sources, chat history

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Local RAG System with DeepSeek-R1, Ollama and LangChain for Document Analysis

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  1. 1 00:00 - Demo
  2. 2 00:36 - Welcome
  3. 3 02:01 - Architecture of our RAG
  4. 4 04:50 - Live "AI Engineering" Boot Camp on MLExpert.io
  5. 5 05:45 - Project structure and config
  6. 6 07:30 - Uploading files
  7. 7 08:21 - File ingestion retrieval - chunking, contextual retrieval, embeddings, bm25, reranking
  8. 8 16:49 - Chatbot Ollama, LangGraph workflow, streaming, sources, chat history
  9. 9 23:56 - App UI with Streamlit
  10. 10 26:35 - Test our RAG chat with blog post
  11. 11 29:14 - Conclusion

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