I built QueryMind, a multi-source agentic AI analytics platform that lets users query both struct...I built QueryMind, a multi-source agentic AI analytics platform that lets users query both struct...
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I built QueryMind, a multi-source agentic AI analytics platform that lets users query both structured databases and unstructured documents through natural language. It's powered by FastAPI and React on the app side, with LangGraph handling agent orchestration, ChromaDB for retrieval, and Gemini as the underlying LLM.
The core of the system is a five-route classification layer that decides, per query, whether to hit SQL, RAG, or some combination of both — including a reformulator node that rewrites queries for cross-source retrieval. I migrated the whole app from an early Streamlit prototype to a proper FastAPI + React architecture, and spent a good chunk of time on performance — trimming the SQL generation prompt from ~450 to ~180 tokens and getting response times down to ~1.5s.
It's deployed on Render, and I maintain two branches on GitHub — one showing a traditional pipeline, one showing the LangGraph agentic version — so people can compare both approaches directly.
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Creatives on Contra have earned over $150M and we are just getting started