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RAG-Chatbot using Llama2

This project provides a simple python chatbot capable of answering questions and extracting information from PDF files using the Llama language model. The chatbot is powered by the replicate API hosting the Llama language model, allowing it to understand natural language queries and respond with relevant content from the documents.

Running the code

  1. Clone the repository git clone https://github.com/poojasrinivass/RAG-Chatbot.git cd RAG-Chatbot
  2. Install the dependencies pip install -r requirements.txt
  3. Start the chatbot on your terminal python chatbot.py

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A chatbot using RAG based on knowledge provided in a pdf document form. Llama2 is used for generating the responses based on specific documents.

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