#大语言模型#Chat2DB 是一个智能的通用SQL客户端和数据报表工具,它集成了AI的能力。Chat2DB可以帮助您更快地编写SQL查询、管理数据库、生成报告、探索数据、并且可以与多种数据库进行交互
#大语言模型#WrenAI 是一个开源GenBI (生成式 BI),将自然语言查询转为SQL(Text-to-SQL) 和图表(Text-to-Chart)
#大语言模型#Chat-based SQL Client and Editor for the next decade
#自然语言处理#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 7 billion with natural language (powered by OpenAI). Follow us on Twitter: https://twitter.com/o...
#数据仓库#A repository that contains models, datasets, and fine-tuning techniques for DB-GPT, with the purpose of enhancing model performance in Text-to-SQL
#大语言模型#基于大模型和 RAG 的智能问数系统。Text-to-SQL Generation via LLMs using RAG.
#大语言模型#一个轻量级、支持全链路且易于二次开发的大模型应用项目(Large Model Data Assistant) 支持DeepSeek/Qwen3等大模型 基于 Dify 、LangChain/LangGraph、Ollama&Vllm、Sanic 和 Text2SQL 📊 等技术构建的一站式大模型应用开发项目,采用 Vue3、TypeScript 和 Vite 5 打造现代UI。它支持通过 ECh...
#自然语言处理#[TKDE'25] 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. Offi...
#网络爬虫#The Resources for "Natural Language to Logical Form" ; "自然语言转逻辑形式"研究资料收集。
#自然语言处理#Content Enhanced BERT-based Text-to-SQL Generation https://arxiv.org/abs/1910.07179
#大语言模型#A solution guidance for Generative BI using Amazon Bedrock, Amazon OpenSearch with RAG
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.
🔥[VLDB'24] Official repository for the paper “The Dawn of Natural Language to SQL: Are We Fully Ready?”
#自然语言处理#GAP-text2SQL: Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training
#网络爬虫#Text-to-SQL in the Wild: A Naturally-Occurring Dataset Based on Stack Exchange Data
[arXiv'25] Official Repository for the Paper "SQL-R1: Training Natural Language to SQL Reasoning Model By Reinforcement Learning"