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🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using RAG 🔄.
⚡️ GenBI (Generative BI) queries any database in natural language, generates accurate SQL (Text-to-SQL), charts (Text-to-Chart), and AI-powered insights in seconds.
Chat-based SQL Client and Editor for the next decade
Interact with your SQL database, Natural Language to SQL using LLMs
🔥 基于大模型和 RAG 的智能问数系统。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.
MindSQL: A Python Text-to-SQL RAG Library simplifying database interactions. Seamlessly integrates with PostgreSQL, MySQL, SQLite, Snowflake, and BigQuery. Powered by GPT-4 and Llama 2, it enables natural language queries. Supports ChromaDB and Faiss for context-aware responses.
End-to-End Local-First Text-to-SQL Pipelines
Multiple paper open-source codes of the Microsoft Research Asia DKI group
[VLDB' 25] Synthesizing High-quality Text-to-SQL Data at Scale. SynSQL-2.5M is the first million-scale cross-domain text-to-SQL dataset.
[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.
Translating natural language questions to structured query language (SQL)
A Model Context Protocol (MCP) server that enables natural language queries to databases
Make sense of it all. Semantic data modeling and analytics with a sprinkle of AI. https://totalhack.github.io/zillion/
SQL-o1: A Self-Reward Heuristic Dynamic Search Method for Text-to-SQL
A solution guidance for Generative BI using Amazon Bedrock, Amazon OpenSearch with RAG
Efficient, consistent and secure library for querying structured data with natural language