Jessup Cellar RAG App

Jessup's Helper ?

Jessup's Helper is a Retrieval Based Chatbot that uses a pre-trained Llama3-8b model to generate responses to user input. Groq has been used for a near instant inference because of the high token speed, and Google Gen AI Studio API has been used to get the embeddings. The model uses a PDF file for information retrieval and generation of responses based on the context. The PDF file can be found in the 'pdfs' folder.

Live Demo

The project is hosted on Streamlit and can be accessed here.

Getting Started

These instructions will guide you through getting a copy of the project up and running on your local machine for development and testing purposes.

Prerequisites

First of, you will need to clone the repository to your local machine. You can do this by running the following command in your terminal:

git clone https://github.com/soumyadeepbose/Jessup-Cellar-RAG-App.git

Next, you will need to install the required packages. You can do this by running the following command in your terminal:

pip install -r requirements.txt

Setting up the Environment Variables

You will need to set up the environment variables. For this, you need to create a .env file in the root directory of the project. The .env file should contain the following environment variables:

• GOOGLE_API_KEY: This is the API key for the Google Gen AI Studio API. You can get this by following the instructions here.

• GROQ_API_KEY: This is the API key for the Groq API. You can get this by following the instructions here.

Running the App

Now to run the app, you will need to run the following command in your terminal:

streamlit run app.py

Author

• Soumyadeep Bose ?