ddkang1 / langchain-llama-index-document-understanding2

LangChain + LLama Index for Document Understanding application

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langchain-llama-index-document-understanding

LangChain + LLama Index (GPT Index) for Document Understanding application

Prerequisite:

  • Use python 3.10
  • Copy file .env.example and rename to .env, paste your OPENAI_API_TOKEN there.
  • You must use tab GPTIndex Document Embedding first to generate index from your favorite document, and, then switch to Chat GPT_Index tab to select your indexing and chat with it.

Running the app:

If you want to change the settings, take a look at app.py for more.

python app.py

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LangChain + LLama Index for Document Understanding application


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