Awesome GitHub RepositoriesLLM-Based SQL Generation

Chat2DB is an AI-powered SQL client and multi-database management GUI. It serves as a centralized graphical interface for administering diverse relational and non-relational database engines, integrating large language models to transform natural language prompts into executable SQL statements and application code. The tool utilizes schema-aware prompt engineering to inject database metadata into AI requests, ensuring generated queries match the actual schema. It also functions as an AI data reporting tool, using artificial intelligence to create dashboards and visual reports directly from da

mycli is a MySQL command line client, database administration tool, and SQL query editor. It functions as a terminal interface for executing queries and managing MySQL connections, incorporating an integrated assistant that uses large language models to generate and analyze SQL statements based on the current database schema. The tool provides specialized query authoring capabilities, including context-sensitive syntax suggestions, fuzzy-matching identifier completion for tables and columns, and the ability to handover query buffers to external system text editors. It distinguishes its connec

This project is a collection of tutorials and guides for building large language model applications using the LangChain framework, written in Chinese. It serves as a learning resource for developing software that integrates language models with memory and chain-based logic. The resource provides specific walkthroughs for implementing retrieval augmented generation systems using vector stores and document loaders. It includes guides on creating autonomous agents that dynamically select and execute external tools, as well as tutorials for translating plain text queries into executable database

🔥 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.

SQL Chat is a Docker-deployed chat interface that translates natural language questions into SQL queries and executes them against connected databases. It uses a large language model to generate SQL from plain English instructions, supporting both querying and record modification through INSERT, UPDATE, and DELETE statements within the chat conversation flow. The application connects to MySQL, PostgreSQL, MSSQL, TiDB Cloud, and OceanBase databases through a unified driver abstraction layer, allowing users to interact with multiple database types from a single chat interface. Users provide the

Supersonic este o platformă de analiză a datelor bazată pe LLM și un motor de strat semantic care traduce întrebările în limbaj natural în interogări SQL executabile. Funcționează ca un dashboard de business intelligence și interfață text-to-SQL, permițând utilizatorilor să recupereze metrici de business și insight-uri printr-o interfață conversațională. Sistemul decuplează definițiile de business de schemele fizice ale bazelor de date prin utilizarea unui strat logic guvernat pentru a defini metrici și dimensiuni unificate. Această modelare semantică permite platformei să mapeze tiparele limbajului uman la modele curatoriate și să traducă declarațiile semantice abstracte în SQL fizic adaptat pentru motoare de baze de date specifice. Platforma oferă un gateway de date enterprise cu control de acces granular și bazat pe roluri la nivel de dataset, coloană și rând. Capabilitățile sale includ gestionarea dialogului multi-turn, conectivitate multi-bază de date și o arhitectură de plugin-uri pentru integrarea instrumentelor terțe. Proiectul își expune funcționalitatea printr-un API programatic headless și un API de strat semantic pentru consumul extern de date.

This project is a developer utility that functions as an artificial intelligence-powered assistant for database query management. It provides an interactive interface for translating between natural language and structured database code, simplifying the processes of writing, debugging, and maintaining complex queries. The tool distinguishes itself by incorporating schema-aware context injection, which allows it to align generated queries with specific table definitions and relationship metadata. By maintaining stateful conversation history and utilizing large language model prompting, it enab

Briefer is an interactive data notebook platform and business intelligence dashboard tool used for collaborative data analysis and reporting. It provides a containerized environment for building reports that combine SQL, Python, and Markdown with native visualizations. The platform features an integrated code assistant that uses large language models to generate SQL and Python snippets from natural language prompts. It is designed as a Kubernetes data application, deploying via Helm charts to manage isolated compute environments and ensure separate resources per page through pod-based isolati

DataHerald is a natural language text-to-SQL interface and data analytics tool that translates English questions into executable database queries using a large language model. It functions as a query generator and connectivity layer capable of retrieving database records and summarizing the results into human-readable explanations. The project features a dedicated business logic layer for defining database constraints and managing verified query pairs to improve translation accuracy. It acts as a multi-warehouse data connector, allowing for the indexing and querying of multiple SQL databases