RAG Chatbot using Gemini 2.5 + LangChain + ChromaDB

This repository contains a Retrieval-Augmented Generation (RAG) chatbot built using:

• Google Gemini 2.5 Pro
• LangChain
• HuggingFace Embeddings
• Chroma Vector Store

It loads a custom dataset, splits it into chunks, embeds them, and retrieves relevant context for every query.

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🚀 Features

• Document ingestion (txt file)
• Recursive text chunking
• Chroma vector database
• HuggingFace MiniLM embeddings
• Gemini 2.5 Pro for smart answers
• Console-based interactive chatbot

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▶️ Run the Chatbot

pip install -r requirements.txt python src/rag_chatbot.py

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🔑 .env Format

GEMINI_API_KEY=your_api_key_here

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