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This GitHub Repository will help you to follow up in making a RAG application to chat with multiple PDFs at a single time with Indexify as the Vector DB, DSPy as framework along with Llama 3 as the language model

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Chat-Multiple-Docs-Indexify

This repository contains a chatbot application capable of answering questions from multiple PDF files simultaneously. The application leverages Indexify for document indexing and retrieval, DSPy for natural language processing, and Streamlit for the user interface.

Read full article with detailed steps over here

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Getting Started

Follow these steps to set up and run the application.

Prerequisites

Ensure you have Python installed on your system. You can download it from here.

Installation

  1. Clone the repository:

git clone https://github.com/vansh-khaneja/Chat-Multiple-Docs-Indexify.git

cd Chat-Multiple-Docs-Indexify

  1. Indexify setup: Refer to this article for setting up Indexify extractors Download Indexify Extractors

  2. Install the required dependencies:

pip install -r requirements.txt

Database Setup

Create the Indexify database graph by running:

python db_setup.py

Running the Application

Start the Streamlit application with the following command:

streamlit run main.py

Contact

For any questions or issues, please open an issue on this repository or contact us at [email protected].

Happy coding!

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This GitHub Repository will help you to follow up in making a RAG application to chat with multiple PDFs at a single time with Indexify as the Vector DB, DSPy as framework along with Llama 3 as the language model

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