Local RAG Based AI Agent

Overview

This app uses a language model (LLaMA 3.2 via LangChain) to answer questions about pizza restaurants based on retrieved customer reviews. The system retrieves relevant reviews and generates a response tailored to your question.

Features:

• Ask any question about pizza restaurants.
• View relevant customer reviews used to generate the answer.
• Customize the number of reviews used for context.
• Select from example questions for quick queries.

Installation

Prerequisites

• Python 3.10 or higher: Download Python
• OpenAI Hugging Face Token Access: Sign up for Hugginf Face's Token

Steps

1. Clone the Repository

   git clone https://github.com/rezwanh001/Local-RAG-AI-Agent
   cd Local-RAG-AI-Agent

2. Create a Virtual Environment

   conda activate <your env name>

3. Install Dependencies

   pip install -r requirements.txt

4. Set Up Environment Variables

   Create a .env file in the project root:

   HF_TOKEN="Your Hugging Face Token"

Usage

1. Activate the Virtual Environment

   conda activate <your env name>

2. Run the Streamlit App

   streamlit run app.py

3. Access the App

   Open the URL provided by Streamlit (usually http://localhost:8501) in your web browser.

Acknowledgements

• Streamlit for the web application framework.
• AIAnytime for the stremlit design.
• LocalAIAgentWithRAG for csv file and core code.