Agentic RAG - AI Waiter Agent

Overview

This project builds an AI Agent that acts as a virtual restaurant waiter. The agent interacts with customers, answers their menu-related queries, and provides friendly responses. The system is built using LangChain and LangGraph, integrating OpenAI's GPT-based language models to process user inputs effectively.

Features

• Conversational AI: Uses OpenAI's GPT models to generate human-like responses.
• Menu Assistance: Provides detailed information about restaurant menu items.
• Agentic Workflow: Utilizes LangGraph to manage interactions efficiently.
• RAG Integration: Implements a Retrieval-Augmented Generation (RAG) system to fetch relevant menu details.

Technologies Used

• Python
• LangChain & LangGraph
• OpenAI API
• FAISS (for vector similarity search)
• Unstructured (for document processing)

Installation

1. Clone the repository:

   git clone https://github.com/yourusername/Agentic_RAG_Waiter.git
   cd Agentic_RAG_Waiter

2. Install dependencies:

   pip install -r requirements.txt

3. Set up your OpenAI API key in the environment variables.

Usage

Run the Jupyter Notebook to initialize the agent:

jupyter notebook Agentic_RAG_Project.ipynb

Future Enhancements

• Extend the agent to support multi-modal interactions (voice & text).
• Enhance menu understanding using structured databases.
• Deploy as a chatbot service.

Contributing

Feel free to open issues or submit pull requests for improvements.

License

This project is licensed under the MIT License.