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Open-source RAG for Japanese LLM in low-resource settings

  1. Llama-Index as a data framework
  2. Embeddings from Multi-lingual E5 from Microsoft
  3. Elyza as LLM based on LlaMA 2 (Facebook/Meta)
  4. 4Bits quantized by Bitsandbytes (served by Hugging Face Accelerate)
  5. CJKPDFReader loader for Japanese PDF files
  6. Open source Vector database (Postgres + PGVector)
  7. Vanilla hybrid search
  8. Ngrok for TCP tunneling
  9. Q&A test
  10. Conclusion

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Open source RAG with Llama Index for Japanese LLM in low resource settting

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