build sql agent using different pattern rag/self-correction/optimization

Enterprise-grade SQL Agent using PydanticAI and Azure OpenAI for secure natural language to SQL conversion with comprehensive safety validation

This app is a document-grounded AI chatbot that answers queries from local files(txt and csv)

The Netflix Insights Chatbot is an AI-powered tool that enables users to explore Netflix's 2023 engagement trends through natural language queries. Built upon a RAG and AI agent pipeline, the app provides insights on movies, tech specs, and engagement trends. Demo below!

Generate human readable response from database.

A SQL agent for e-commerce data, featuring LLM-driven natural language to SQL, semantic table selection, optimal join planning, and multi-step query generation with validation. Supports vector search, statistical sampling, result pagination, caching, real-time simulation, and automated query optimization for seamless and intelligent integration.

(EMNLP 2025) Weaver: A modular agentic pipeline that dynamically combines SQL and LLMs for advanced table-based question answering

Multi-Agent Tool to Diagnose Errors in Unified Diagnostic Service (UDS) Data with a Flask Front-End

SQL Server Agent Job Monitor

Chat with your database with natural language interface

SQL-Agent-ChatBot : When user sends a query, the Agent tries to convert the query into SQL query based on the database Schema, and then retrieve the relevant information from the database and give back the relevant information in NLP.

LangChain SQL BI Assistant for IMDB

A quick and dirty Windows Service for running SQL commands regularly, mainly to maintain regular database backups

LLMRoboFund is a powerful chatbot empowered with Multi-document RAG. The chatbot is equipped with RetrievalQA and SQL Agents to ease the investment research

This project enables performing SQL queries in natural language using LangChain and Streamlit.

Example application for constructing and running an LLM-based LangChain SQL Agent based on GPT-4o mini that can dynamically query a database and invoke multiple visualization tools

For Building Stateful, multi-actor applications with LLMs, Create agent and multi-agent workflows

Advanced AI Agents Cookbooks

Exploring advanced prompting tools to query SQL database with multiple tables in natural language using LLMs