Natural-SQL-7B, a strong text-to-SQL model

In plain words

Natural-SQL-7B is a text-to-SQL model that converts natural language queries into SQL statements. It is designed for developers and data professionals who need to translate plain English questions into database queries. The 7-billion parameter model specializes in accurate SQL generation, making it useful for applications that require automated query creation from conversational input.

written from the facts on this page · September 2026

From the sources

A series of top performing Text to SQL LLMs. Contribute to cfahlgren1/natural-sql development by creating an account on GitHub.

• NL
  Natural Language to SQL "Text-to-SQL" API2024 · dataherald.com · ▲62

  Hi HN- Today, we are releasing the hosted API for our natural language to SQL engine, which allows you to: (1) Explain Your Data: Feed in dictionaries, dbt, schemas, Confluence docs - we'll understand the business context to your data. (2) Train Your AI: Fine-tune an LLM (including GPT-4) specifically for your data, increasing accuracy and lowering latency (3) Trust the Answer: See confidence scores with each AI-generated query, stay in control. (4) Conduct complex SQL queries Problem background - Developers struggle to build NL-to-SQL into products because LLMs do not work out-of-the-box;…

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  We open sourced our entire text-to-SQL product2024 · github.com · ▲464

  Long story short: We (Dataherald) just open-sourced our entire codebase, including the core engine, the clients that interact with it and the backend application layer for authentication and RBAC. You can now use the full solution to build text-to-SQL into your product. The Problem: modern LLMs write syntactically correct SQL, but they struggle with real-world relational data. This is because real world data and schema is messy, natural language can often be ambiguous and LLMs are not trained on your specific dataset. Solution: The core NL-to-SQL engine in Dataherald is an LLM based agent…

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  Translate English to SQL2019 · github.com · ▲209

  inferring sql queries from plain-text questions about tables - paulfitz/mlsql

• DS
  Describe SQL using natural language, and execute against real data2021 · ▲66

  I played around with GPT-3 to build this demo. Select a public BigQuery dataset and describe your query in natural English, then edit the generated SQL as needed and execute it. https://app.tabbydata.com/sql-assistant-demo

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  Dataherald AI – Natural Language to SQL Engine2023 · github.com · ▲215

  Hi HN community. We are excited to open source Dataherald’s natural-language-to-SQL engine today (https://github.com/Dataherald/dataherald). This engine allows you to set up an API from your structured database that can answer questions in plain English. GPT-4 class LLMs have gotten remarkably good at writing SQL. However, out-of-the-box LLMs and existing frameworks would not work with our own structured data at a necessary quality level. For example, given the question “what was the average rent in Los Angeles in May 2023?” a reasonable human would either assume the…

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  Natural Language to SQL2025 · ▲33

  Turn everyday language into SQL queries

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