XGenerationLab/XiYan-SQL

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1019 stars · 52 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

XiYan-SQL is a multi-generator ensemble framework for converting natural language questions into SQL queries, achieving SOTA results on benchmarks like BIRD-CRITIC. It includes a training framework for SQL/general LLMs and companion tools such as the XiYanSQL-QwenCoder models, M-Schema, and an MCP server.

Use cases

• convert natural language questions into SQL queries
• build a text-to-SQL chatbot over a relational database
• fine-tune an LLM for SQL generation
• evaluate and benchmark text-to-SQL models on BIRD and BIRD-CRITIC
• serve natural-language-to-SQL via an MCP server for secure data access

When to choose

• you need state-of-the-art text-to-SQL accuracy with ensemble generation
• you want to train or fine-tune a SQL-capable LLM
• you need a natural language interface over SQL databases with local model support

When to avoid

• you need a simple no-code BI tool rather than a developer framework
• your project does not involve SQL databases or LLMs
• you require a turnkey hosted product with no setup

Facets

framework · maturity active

llm-inference rag machine-learning llm-training sdk large-language-models databases artificial-intelligence python cross-platform text-to-sql nl2sql ensemble-framework sql-generation mcp-server benchmark-sota natural-language-processing

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