RAG-Chatbot

RAG Chatbot Demo 🚀

This repository contains a Retrieval-Augmented Generation (RAG) Chatbot using FAISS for efficient document retrieval and LLM-based response generation.

🔗 Live Demo
(Click the link above to try the chatbot!)

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🛠 How It Works

1. Embedding Model: mixedbread-ai/mxbai-embed-large-v1

   • Converts text into dense vector embeddings.

2. Dataset: KarthikaRajagopal/wikipedia-2

   • Wikipedia-based dataset used for retrieval.

3. FAISS Indexing: FAISS Documentation

   • Speeds up similarity search for document retrieval.

4. Chatbot Model: Meta-Llama-3-8B-Instruct

   • Generates responses based on retrieved documents.

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🚀 Running the Chatbot Locally

Clone this repository and install dependencies:

git clone https://github.com/KarthikaRajagopal44/RAG-Chatbot.git
cd RAG_Chatbot
pip install -r requirements.txt