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This project provides a Gradio-based web application that allows users to interact with an SQLite database using natural language queries. It leverages the LangChain library and OpenAI's language model to convert plain English questions into SQL queries and execute them on the provided database.
An intelligent GraphRAG system that transforms any database into a knowledge graph using Neo4j, combines pgvector semantic search with graph reasoning, and enables natural language question answering over structured data.
Fintetuned Flan-T5 to provide SQL queries given Natural Language Text. Two steps of finetuning: First on general Natural Language to SQL Queries and second on queries related to a single database
A multi-agent AI chatbot that answers natural-language questions over real retail sales data — built with a Planner → Analytics → Verification pipeline (LangGraph), text-to-SQL generation, conversation memory, and an explainability panel showing the agent's reasoning. FastAPI + PostgreSQL backend, React frontend, powered by OpenRouter.
Transform patient demographic queries into SQL effortlessly with our Text-to-SQL Chatbot. Leverage RAG and LangChain for accurate, user-friendly interactions. 🚀💻
Conversational Data Intelligence Platform - upload any CSV, ask questions in plain English, get verified SQL-backed answers with auto-generated charts.
AI SQL Agent — Ask questions in plain English and get answers from SQL databases. A production-ready LangGraph agent that turns natural language into safe, validated SQL, with a Streamlit chat UI, streaming, charts, caching, LangFuse tracing, LLM-as-judge evaluations, and injection/faithfulness guardrails.