#Text-to-sql
Showing 36 of 36 repositories tagged #text-to-sql, ranked by stars
🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using Agentic Retrieval 🔄.
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
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.
🔥 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.
Interact with your SQL database, Natural Language to SQL using LLMs
A repository that contains models, datasets, and fine-tuning techniques for DB-GPT, with the purpose of enhancing model performance in Text-to-SQL
👾 nao is an open source analytics agent. (1) Create context with nao-core cli, (2) deploy nao chat interface for everyone
Continuously updated paper list on advancements in Data Agents. Companion repo to our paper "A Survey of Data Agents: Emerging Paradigm or Overstated Hype?"
End-to-End Local-First Text-to-SQL Pipelines
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.
AI-native ClickHouse console for your cluster diagnostics and query generation, optimization and data visualization.
Make sense of it all. Semantic data modeling and analytics with a sprinkle of AI. https://totalhack.github.io/zillion/
A solution guidance for Generative BI using Amazon Bedrock, Amazon OpenSearch with RAG
LLM based AI Agent to automate Data Analysis for dbt projects with remote MCP server
This repository is intended for those looking to dive deep on advanced Text-to-SQL concepts.
A framework for converting natural language text inputs to corresponding Pandas, MongoDB, Kusto and Neo4j (Cypher) queries.
[EMNLP 2025 Main] LinkAlign: Scalable Schema Linking for Real-World Large-Scale Multi-Database Text-to-SQL
【AIGC 实战入门笔记 —— AIGC 摩天大楼】分享 大语言模型（LLMs），大模型高效微调（SFT）,检索增强生成（RAG），智能体（Agent），PPT自动生成, 角色扮演，文生图（Stable Diffusion） ，图像文字识别（OCR），语音识别（ASR），语音合成（TTS），人像分割（SA），多模态（VLM），Ai 换脸(Face Swapping), 文生视频(VD)，图生视频（SVD），Ai 动作迁移，Ai 虚拟试衣，数字人，全模态理解（Omni），Ai音乐生成 干货学习 等 实战与经验。
Leverage AI to generate GraphQL queries from plain text.
Easily get started with Spring-AI to develop various AI applications, including TextToSQL and private data AI application development. In addition to these capabilities, Spring-AI also supports integration with several other advanced AI technologies and platforms such as DeepSeek, Azure, Ollama, Vector Databases, Function Calling, MCP and RAG.
Squrve is a lightweight yet powerful framework for translating natural language into SQL over complex databases.
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
Turn your data into the right chart with a single prompt. AI picks the type and fields — JavaScript does the rest.
Analytics DSL for Python
An innovative AI system developed to extract actionable insights by converting natural language into SQL queries via Google's Gemini model and dynamically visualizing the data with Plotly Express, streamlining decision-making across all levels of expertise.
[ACL 2025] NeuSym-RAG: Hybrid Neural Symbolic Retrieval with Multiview Structuring for PDF Question Answering
CollabChatbot is a cutting-edge, open-source project designed to revolutionize how organizations access employee information and foster team collaboration. This beta version introduces a suite of powerful features, including instant personal details, real-time occupancy updates, skill identification, and smart team-building recommendations
AI-powered natural language to SQL
AI-native visual SQL workbench on DuckDB. Query local CSV/Excel/JSON + remote MySQL/Postgres together with text-to-SQL chat — no ETL, local-first, cross-source JOINs. · 基于 DuckDB 的 AI 可视化 SQL 工作台,本地文件与远程库一站式跨源分析。
Code for Retrieval augmented text-to-SQL generation for epidemiological question answering using electronic health records
Text-to-SQL with GraphRAG on Knowledge Graph Semantic Representation of SQL Databases
AI-powered geopolitical news intelligence platform. Ingests 100K+ daily events from GDELT, stores in MotherDuck (DuckDB), orchestrates with Dagster, and features an AI chat interface with Text-to-SQL. Full data engineering stack at $0/month.
Query CSV, Excel & Parquet files with natural language. Fast, local, DuckDB-powered.
BASE-SQL: A powerful open source Text-To-SQL baseline approach