🔥🔥🔥AI-driven database tool and SQL client, The hottest GUI client, supporting MySQL, Oracle, PostgreSQL, DB2, SQL Server, DB2, SQLite, H2, ClickHouse, and more.

Chat-based SQL Client and Editor for the next decade

Analysis, Comparison, Trends, Rankings of Open Source Software, you can also get insight from more than 7 billion with natural language (powered by OpenAI). Follow us on Twitter: https://twitter.com/ossinsight

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

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

GAP-text2SQL: Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training

Text-to-SQL in the Wild: A Naturally-Occurring Dataset Based on Stack Exchange Data

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

NLU: domain-intent-slot; text2SQL

基于python和llm大模型开发的数据处理和任务调度系统。 支持数据源管理，数据模型管理，数据集成，数据查询API接口，低代码自定义数据处理任务模版，单任务及dag任务工作流调度等功能。集成了llm模块实现rag知识库问答，链接各数据源数据进行数据对话问答，交互式数据分析功能。

Convert natural language query to appropriate SQL, make ERPs cool again.

🌶️ R²SQL: "Dynamic Hybrid Relation Network for Cross-Domain Context-Dependent Semantic Parsing." (AAAI 2021)

Repositório referente a mentoria Desmestificando Banco de Dados SQL e NoSQL com ChatGT. Mentoria para os alunos participantes dos Bootcamps oferecido pela DIO em parceria com o Santander.

Data Neuron is a powerful framework that enables you to build text-to-SQL applications with an easily maintainable semantic layer. Whether you're creating customer-facing chatbots, internal Slack bots for analytics, or other data-driven applications, Data Neuron provides the tools to make your data accessible through natural language

The dataset and source code for our paper: "Did You Ask a Good Question? A Cross-Domain Question IntentionClassification Benchmark for Text-to-SQL"

This project uses the open-source model Mixtral 8x7B Instruct, deployed in Amazon SageMaker or invoked via API on Amazon Bedrock, to enable users to chat with their database using natural language, without writing any code or SQL query.

Table2answer: Read the database and answer without SQL https://arxiv.org/abs/1902.04260

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