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DocQuery

This project leverages AI to efficiently search, retrieve, and answer questions from documents. It processes text chunks, embeds them for similarity search, and provides contextual responses based on the user's query.

Technologies Used

  • Python
  • LangChain
  • Qdrant
  • Ollama

How to Run

  1. Clone the repository.
  2. Install the required dependencies:
    pip install -r requirements.txt
    
  3. Set up environment variables :
    $ cp .env.example .env
  4. Run the FastApi server:
    uvicorn main:app
    

About

An intelligent document-based chatbot using Retrieval-Augmented Generation (RAG) to answer queries from uploaded documents

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