Your AI-Powered
Supabase
Assistant
Get instant answers from Supabase documentation using advanced AI. Search, analyze, and understand complex database concepts with intelligent routing across multiple AI providers.
Smart Query Routing
Automatically routes queries to the best AI model - OpenAI for SQL, Claude for summaries, Cohere for semantic search.
Performance Analytics
Track accuracy, latency, cost, and reliability metrics across all AI providers with detailed logging.
Vector Search
Powered by pgvector embeddings for semantic search across the entire Supabase documentation.
Technical Architecture
From raw documentation to intelligent AI responses
Data Processing Pipeline
HTML Scraping
Raw Supabase docs
Text Cleaning
Clean structured text
Vector Embeddings
1536-dim vectors
Hybrid Search
Semantic + keyword
AI Response
Contextual answers
HTML Scraping
Scrape Supabase documentation
Text Cleaning
Extract and clean content
Vector Embeddings
Generate 1536-dimensional vectors
Hybrid Search
Semantic + keyword search
AI Response
Generate contextual answers
Supabase + pgvector
PostgreSQL with pgvector extension storing 1536-dimensional embeddings for semantic search
Hybrid Search Engine
Combines semantic vector search with traditional keyword matching for optimal results
Multi-Provider AI
OpenAI for SQL queries, Claude for summaries, Cohere for embeddings with intelligent routing
MCP Router
Model Context Protocol server orchestrating the entire pipeline from query to response