Documentation:

For Know About The Development Journey, Read My Hand Written Documentation

Rig Veda Explorer veda.saikesav.me

Back End
A modern web application for exploring and searching the ancient Rig Veda texts with AI-powered semantic search and interactive chat capabilities.

Features

• Semantic Search: Find relevant verses using natural language queries powered by AI embeddings
• Veda Explorer: Browse through all Mandalas, Hymns, and Slokas with detailed translations
• AI Chatbot: Interactive chat interface to ask questions about Vedic texts
• Audio Support: Listen to authentic Sanskrit recitations of verses
• Random Verse Discovery: Explore random verses for daily inspiration
• 3D Visualizations: Immersive 3D Om symbol rendered with React Three Fiber

Tech Stack

Frontend

• React 19.2.0 - Modern UI framework
• React Router - Navigation and routing
• React Three Fiber - 3D graphics rendering
• React Icons - Icon library

Backend

• Flask 3.0.0 - Python web framework
• Sentence Transformers - AI-powered text embeddings
• FAISS - Efficient similarity search
• PyTorch - Machine learning framework
• Gunicorn - Production WSGI server

Infrastructure

• Docker & Docker Compose - Containerized deployment
• Cloudflare Tunnel - Secure public access
• CORS Support - Cross-origin resource sharing

Project Structure

Rig_Veda/
├── backend/
│   ├── app.py                    # Flask application entry point
│   ├── requirements.txt          # Python dependencies
│   ├── Dockerfile               # Backend container configuration
│   ├── chat_bot/                # AI chatbot module
│   ├── semantic_search/         # Semantic search engine
│   ├── sloka_explorer/          # Verse exploration API
│   ├── middleware/              # Authentication middleware
│   ├── utils/                   # Utility functions
│   └── data/
│       ├── dataset/             # Rig Veda JSON datasets
│       └── embeddings/          # Pre-computed FAISS index
├── frontend/
│   ├── src/
│   │   ├── components/          # React components
│   │   └── config.js            # API configuration
│   ├── public/                  # Static assets
│   ├── package.json             # Node dependencies
│   └── Dockerfile               # Frontend container configuration
└── docker-compose.yml           # Multi-service orchestration

Local Development If you want to deploy my project locally, Email_ME for proper instructions.

Prerequisites

• Docker and Docker Compose installed
• Node.js 16+ (for local development)
• Python 3.9+ (for local development)

API Endpoints Needs an API Key to Access, Email_ME for API key.

Semantic Search

• POST /api/search - Search verses by natural language query
• GET /api/random-verses - Get random verses
• GET /api/status - Check search engine status

Veda Explorer

• GET /api/mandalas - List all Mandalas
• GET /api/mandala/<id>/hymns - Get hymns in a Mandala
• GET /api/hymn/<mandala>/<hymn> - Get specific hymn details

Chatbot

• POST /api/chat/intent - Chat with AI about Vedic texts (requires API key)

Features in Detail

Semantic Search Engine

Uses state-of-the-art sentence transformers to encode queries and perform similarity search against 10,000+ Rig Veda verses using FAISS indexing for fast retrieval.

Audio Integration

Dynamically fetches and caches Sanskrit audio recitations from my rig veda repo sources, providing an authentic experience.

Responsive Design

Fully responsive interface that works seamlessly on desktop, tablet, and mobile devices.

Health Checks

Both services include health checks:

• Backend: Checks Flask API availability
• Frontend: Verifies React app is serving

License

This project is open source and available for educational and research purposes.

Acknowledgments

• Rig Veda texts sourced from vedaweb.uni
• Audio recitations from aasi-archive/rv-audio

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