Projects using Docker in KarnatakaProjects using Docker in KarnatakaEver watched an AI write bad SQL, instantly realize its mistake, and rewrite it perfectlyโall without human intervention?
Over the weekend, I built the Autonomous Data Analyst Agent. It doesnโt just translate natural language to SQL; it actively debugs itself.
๐ง๐ต๐ฒ ๐ฃ๐ฟ๐ผ๐ฏ๐น๐ฒ๐บ: Enterprises want AI to query their proprietary databases, but LLMs often hallucinate columns or mess up syntax.
๐ง๐ต๐ฒ ๐ฆ๐ผ๐น๐๐๐ถ๐ผ๐ป: I engineered a Self-Correcting Reflection Loop using LangGraph.
Hereโs what happens under the hood:
1๏ธโฃ You ask a complex question in plain English.
2๏ธโฃ The LLM generates DuckDB-flavored SQL.
3๏ธโฃ The Executor node runs it securely in a local container.
4๏ธโฃ ๐ ๐ง๐ต๐ฒ ๐ ๐ฎ๐ด๐ถ๐ฐ: If DuckDB throws a parser error, the Reflection node catches it, feeds the error trace back to the LLM, and auto-corrects the query. 5๏ธโฃ Once successful, a Python agent generates a Matplotlib visualization, streaming everything to a sleek Next.js dark-mode UI.
Plus, I integrated LangGraph MemorySaver, allowing the agent to retain context for human-like follow-up questions.
๐ง๐ฒ๐ฐ๐ต ๐ฆ๐๐ฎ๐ฐ๐ธ: Next.js, FastAPI, LangGraph, DuckDB, Groq (Llama-3), Docker Compose.
Everything is fully containerized and open-source.
Drop a โญ on the repo and let me know what you think!
๐๐ถ๐๐๐๐ฏ ๐ฅ๐ฒ๐ฝ๐ผ: https://lnkd.in/ddnE9rgq
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