We open sourced our entire text-to-SQL product
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…
We open sourced our entire text-to-SQL product launched on May 23, 2024 with 464 votes, #66 of 4,539 launches that month and more than 99% of that year's launches. The site was still online in September 2026, 2 years on.
In plain words
Dataherald is an open-source text-to-SQL engine that converts natural language queries into accurate SQL statements. Built for developers integrating conversational database access into applications, it uses an LLM-based agent with chain-of-thought reasoning to handle real-world messy data and ambiguous queries. The full codebase includes the core engine, client libraries, and backend with authentication and role-based access control, allowing teams to deploy complete text-to-SQL solutions without building from scratch.
written from the facts on this page · September 2026
From the sources
Interact with your SQL database, Natural Language to SQL using LLMs - Dataherald/dataherald
In the maker’s words, at launch
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…
Does a similar job
all alternatives →
Dataherald AI – Natural Language to SQL Engine2023 · github.com · ▲215Hi 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…
- NLNatural 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;…
Natural-SQL-7B, a strong text-to-SQL model2024 · github.com · ▲362Would love thoughts! Here is the HF page: https://huggingface.co/chatdb/natural-sql-7b
Improve Text-to-SQL Accuracy with LLM2023 · github.com · ▲17A repository that contains models, datasets, and fine-tuning techniques for DB-GPT, with the purpose of enhancing model performance in Text-to-SQL - eosphoros-ai/DB-GPT-Hub
Translate English to SQL2019 · github.com · ▲209inferring sql queries from plain-text questions about tables - paulfitz/mlsql
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Source: Show HN post ↗ · launch text quoted in part
