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- How RagBase works
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Classroom Contents
Local RAG with Llama 3.1 for PDFs - Private Chat with Documents using LangChain and Streamlit
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- 1 - What is RagBase?
- 2 - Text tutorial on MLExpert.io
- 3 - How RagBase works
- 4 - Project Structure
- 5 - UI with Streamlit
- 6 - Config
- 7 - File Upload
- 8 - Document Processing Ingestion
- 9 - Retrieval Reranker & LLMChainFilter
- 10 - QA Chain
- 11 - Chat Memory/History
- 12 - Create Models
- 13 - Start RagBase Locally
- 14 - Deploy to Streamlit Cloud
- 15 - Conclusion