text2sql

GenBI (Generative BI) for AI agents, an open-source, governed text-to-SQL through an open context layer that turns natural-language questions into trusted dashboards, charts, and SQL across 20+ data sources, such as BigQuery, Snowflake, PostgreSQL, ClickHouse, Amazon Redshift, Databricks and more.

积木报表：免费开源的报表与 BI 工具，可视化报表设计、数据大屏、仪表盘、打印设计、数据填报一站搞定；AI 一句话生成报表和大屏，Chat2BI 智能问数，类 Excel 在线设计，兼容国产信创数据源，是帆软、润乾报表的免费替代。

🔥 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.

Chat-based SQL Client and Editor for the next decade

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

Analysis, Comparison, Trends, Rankings of Open Source Software, you can also get insight from more than 10 billion with natural language (powered by LLM). Follow us on Twitter: https://twitter.com/ossinsight

Aix-DB 基于 LangChain/LangGraph 框架，结合 MCP Skills 多智能体协作架构，实现自然语言到数据洞察的端到端转换。

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.

An open-source Text2SQL tool that transforms natural language into SQL using graph-powered schema understanding. Ask your database questions in plain English, QueryWeaver handles the weaving.

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

Aser is a lightweight, self-assembling AI Agent frame.

Chat with your data - with memory, rules, and observability built in. Deploy in 2 minutes

五星大厨:全面Multi-Agent 的客服机器人，基于langraph实现，txt2sql ,txt2cypher, lightrag, 多模态 等

AI-native data platform: 60+ connectors, dlt-based ETL, DAG scheduling, per-source RAG knowledge bases, and sandboxed AI agents that query, chart, and analyze your data.

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

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

A solution guidance for Generative BI using Amazon Bedrock, Amazon OpenSearch with RAG