🔥 基于大模型和 RAG 的智能问数系统，对话式数据分析神器。Text-to-SQL Generation via LLMs using RAG.

Curated tutorials and resources for Large Language Models, Text2SQL, Text2DSL、Text2API、Text2Vis and more.

A repository that contains models, datasets, and fine-tuning techniques for DB-GPT, with the purpose of enhancing model performance in Text-to-SQL

This is a continuously updated handbook for readers to easily track the latest Text-to-SQL techniques in the literature and provide practical guidance for researchers and practitioners.

[TKDE2025] Next-Generation Database Interfaces: A Survey of LLM-based Text-to-SQL | A curated list of resources (surveys, papers, benchmarks, and opensource projects) on large language model-based text-to-SQL.

追一科技首届中文NL2SQL挑战赛决赛第3名方案+代码

A relation-aware semantic parsing model from English to SQL

Continuously updated paper list on advancements in Data Agents. Companion repo to our paper "A Survey of Data Agents: Emerging Paradigm or Overstated Hype?"

Agentar-Scale-SQL is a novel framework that leverages scalable computation to significantly improve Text-to-SQL performance.

AI Tool for querying natural language on tabular data.

Asking yours data in a natural language way through pre-modeling (data models and semantic models).

The Open Data QnA python library enables you to chat with your databases by leveraging LLM Agents on Google Cloud. Open Data QnA enables a conversational approach to interacting with your data by implementing state-of-the-art NL2SQL / Text2SQL methods.

NL2SQL - Ask questions in plain English, get SQL queries and results. Powered by LangGraph.

阿里天池首届中文NL2SQL挑战赛top6

The Resources for "Natural Language to Logical Form" ; "自然语言转逻辑形式"研究资料收集。

Content Enhanced BERT-based Text-to-SQL Generation https://arxiv.org/abs/1910.07179

AI-powered desktop SQL client. Cross-platform. Built with Flutter.

CRM Data Q&A Agent - Advanced RAG with NL2SQL over Salesforce Data

This repository is intended for those looking to dive deep on advanced Text-to-SQL concepts.

Code for PointerSQL, PT-MAML, Execution-guided Decoding papers

[NeurIPS'25] Official Repository for the Paper "SQL-R1: Training Natural Language to SQL Reasoning Model By Reinforcement Learning"

This repo accelerates development of RAG applications with rich data sources including SQL Warehouses and documents analysed with Azure Document Intelligence

GenAI/RAG Optimizer and Toolkit for experimentation using Oracle Database AI Vector Search and NL2SQL

Code and trained model for Hybrid ranking network for text-to-SQL on WikiSQL

The Most Powerful Open-Source Autonomous SQL Agents - RAG, NL2SQL

The easiest and most comprehensive framework for building enterprise-grade NL2SQL solutions at scale.

Powerful tool designed to generate SQL queries from natural language (NL2SQL) using Microsoft’s Semantic Kernel framework. This project aims to bridge the gap between human-readable queries and SQL, enabling easy and efficient database interactions with AI-driven language models.

A NL2SQL plugin based on FocusSearch keyword parsing, offering greater accuracy, higher speed, and more reliability!

🔥[SIGKDD'25] NL2SQL-BUGs: A Benchmark for Detecting Semantic Errors in NL2SQL Translation.

EvalBench is a flexible framework designed to measure the quality of generative AI (GenAI) workflows around database specific tasks.