Multi-AI Agent Chatbot for Postgres/Supabase DB & QuickCharts

This workflow creates a sophisticated multi-AI agent chatbot tailored for e-commerce customer service, enabling natural language interactions to query Postgres or Supabase databases. It intelligently routes user requests using a tool agent to either fetch data via SQL or generate dynamic charts with QuickCharts, such as bar or line graphs from query results. Chat history is preserved with Postgres memory nodes for context-aware conversations, eliminating manual SQL writing or chart setup.

Ideal for data analysts, developers, and BI teams in e-commerce, it streamlines data exploration and visualization. Users can ask questions like 'Show sales trends last month' to retrieve insights and get shareable chart URLs instantly, boosting efficiency in customer service by providing quick, visual responses to inquiries.

Key benefits include reduced time on queries (no SQL expertise needed), seamless integration of AI reasoning with DB ops and charting, and scalability for business intelligence. Setup requires only DB credentials and OpenAI API keys, making it accessible yet powerful for handling complex data tasks.