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Dev tools · August 16, 2016

NL

Natural Language to SQL interface to embed in your app

Natural Language to SQL interface to embed in your app launched on August 16, 2016 with 44 votes, #1,661 of 3,856 launches that month and more than 90% of that year's launches. The site was not reachable when checked in September 2026.

In plain words

Kueri is a natural language to SQL interface designed for developers who want to embed database query functionality into their applications. It translates plain English questions into SQL queries, eliminating the need for users to learn SQL syntax. The tool is built for software teams seeking to make database access more accessible to non-technical users within their products.

written from the facts on this page · September 2026

Does a similar job

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  • Kueri Platform2016 · ▲121

    A complete platform for integrating natural language to SQL

  • EA
  • Natural-SQL-7B, a strong text-to-SQL model2024 · github.com · ▲362

    Would love thoughts! Here is the HF page: https://huggingface.co/chatdb/natural-sql-7b

  • Dataherald2024 · ▲126

    Embed NL-to-SQL into your product

  • 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…

  • 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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