A comprehensive AI-powered data analytics platform that enables natural language queries across multiple enterprise data sources using vector search and large language models.
- Backend: Python FastAPI with PostgreSQL + pgvector for vector storage
- Frontend: React with TypeScript and Tailwind CSS
- Database: PostgreSQL with pgvector extension for vector similarity search
- Queue: Redis with Celery for background job processing
- LLM Integration: OpenAI GPT-4 and Anthropic Claude support
- Deployment: Docker Compose for local development and production
🎯 Features
- 🤖 Natural Language Queries: Ask questions about your data in plain English
- 🔍 Vector Search: AI-powered semantic search across database schemas and documentation
- 📊 Multi-Database Support: Connect to PostgreSQL, MySQL, SQL Server, and Oracle
- 📈 Intelligent Visualizations: Automatic chart generation based on query results
- 🔐 SQL Safety: Built-in query validation and read-only execution
- 📱 Modern UI: Responsive React interface with real-time chat
- 🏢 Multi-Tenant Support: Isolated data access by tenant
- 🔑 RBAC: Role-based access control and permissions
- 📋 Audit Logging: Complete query and access audit trail
- 🔄 Schema Import: Automated database schema introspection and documentation
- 📤 Export Options: CSV, Excel, and PDF export capabilities
- ⚡ Performance: Optimized vector search with pgvector indexing
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