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RagaBot

AI-Powered Indian Classical Music Platform

An AI-powered research and knowledge management platform for Indian Classical Music. Integrates OpenAI, Gemini, and Perplexity with web scraping and human verification workflows to build the most comprehensive, verified repository of musical metadata.

10,000+
Verified Entries
98%
Data Accuracy
3
AI Providers
Features

Everything You Need for Music Research

RagaBot combines cutting-edge AI with domain expertise to build and maintain the most accurate Indian Classical Music knowledge base ever assembled.

🤖

Multi-AI Data Extraction

Leverages OpenAI GPT-4, Gemini, and Perplexity simultaneously for comprehensive data extraction and cross-validation.

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Web Scraping Engine

Automated extraction from 10+ data sources including websites, digital archives, PDFs, and books.

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Cross-Validation Pipeline

Three AI providers independently extract and then compare results to resolve conflicts and ensure accuracy.

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NLP-Powered Search

Advanced natural language processing for intelligent search across artists, raags, taals, and compositions.

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Intelligent Deduplication

AI-powered conflict resolution and deduplication to prevent duplicate entries across sources.

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Context-Aware Linking

Automatically links artists to raags, taals, compositions, and historical periods for a connected knowledge graph.

How It Works

The AI + Human Pipeline

A four-stage workflow that blends artificial intelligence with domain expertise to ensure every entry in the knowledge base is accurate and thoroughly verified.

01

Data Sourcing

RagaBot scans 10+ sources — websites, digital archives, PDFs, and books — extracting raw musical knowledge about artists, raags, taals, and compositions.

10+ data sourcesPDF & document parsingWeb scraping with PuppeteerArchive ingestion
02

AI Processing

Three AI providers — OpenAI, Gemini, and Perplexity — independently cross-validate, structure, and reconcile extracted data into standardized entries.

OpenAI GPT-4 analysisGemini cross-validationPerplexity fact-checkingConflict resolution
03

Expert Verification

Domain musicologists and Saptak Archives experts review AI outputs, correct inaccuracies, add context, and approve entries for publication.

Domain expert reviewGuided correction UISource citation linkingApproval workflow
04

Knowledge Graph

Verified data is linked into a rich, searchable knowledge graph connecting artists, raags, taals, gharanas, and historical performances.

Linked entity graphFull-text searchCross-reference indexPublic & API access
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10,000+
Verified Entries
🎯
98%
Data Accuracy
10x
Faster Research
🌐
10+
Data Sources
Tech Stack

Built With Modern Tech

Production-grade technologies chosen for reliability, scalability, and seamless AI integration.

Backend & AI

Node.js

Runtime environment

Express.js

HTTP server & routing

MongoDB

Primary database

Puppeteer

Web scraping engine

OpenAI API

GPT-4 data extraction

Gemini API

Cross-validation & enrichment

Perplexity API

Web research & fact-checking

JWT

Authentication tokens

Frontend & Infrastructure

React.js

UI library

Tailwind CSS

Utility-first CSS

Framer Motion

Animations

AWS S3

Document & media storage

Vercel

Deployment platform

AI Integration Ecosystem

OpenAI
GPT-4 for data extraction and analysis
Google Gemini
Cross-validation and enrichment
Perplexity
Web-based research and fact-checking
AWS S3
Scalable document and media storage
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Preserving India's
Musical Heritage

Interested in building an AI-powered knowledge platform for your organization or cultural archive? Let's talk about how RagaBot's architecture can be adapted to your domain.

10,000+
Verified Entries
98%
Data Accuracy
3
AI Providers
10+
Data Sources