VedAI – AI Chatbot on Bhagavad Gita

Project Overview

VedAI is an innovative AI-powered chatbot that brings ancient wisdom from the Bhagavad Gita to modern users through conversational AI. Built using Python and FastAPI, it leverages Retrieval-Augmented Generation (RAG) technology with a FAISS vector database to provide accurate and contextually relevant responses based on the sacred text.

Key Features

• RAG Model Integration: Utilizes Retrieval-Augmented Generation with FAISS vector database for efficient and accurate retrieval of teachings from the Bhagavad Gita
• Persistent Chat History: Implements user-specific chat history storage to maintain context across sessions and provide personalized recommendations
• Lightweight Deployment: Optimized for efficient deployment with minimal resource requirements while maintaining high performance
• Advanced NLP: Seamless integration of machine learning and natural language processing for natural conversations

Technical Implementation

Backend Architecture

• Built with Python and FastAPI for high-performance API endpoints
• Integrated FAISS (Facebook AI Similarity Search) for efficient vector similarity search
• Implemented RAG pipeline for accurate context retrieval and response generation
• Designed persistent storage system for user chat histories

Machine Learning & NLP

• Utilized embedding models for semantic understanding of queries
• Implemented vector indexing for fast retrieval of relevant passages
• Applied prompt engineering for contextually appropriate responses
• Optimized model inference for production deployment

Technologies Used

Project Timeline

July 2025 – September 2025

Challenges & Solutions

• Semantic Understanding: Implemented advanced embedding techniques to capture the deep philosophical meanings in the text
• Context Preservation: Designed an efficient chat history system that maintains conversation flow while keeping the system lightweight
• Response Accuracy: Fine-tuned the RAG pipeline to ensure responses are faithful to the original teachings

Future Enhancements

• Multilingual support for broader accessibility
• Voice interaction capabilities
• Integration with other spiritual texts
• Advanced personalization based on user preferences and history