A Natural Language Query Engine Without Machine Learning
A Natural Language Query Engine Without Machine Learning launched on October 8, 2016 with 115 votes, #310 of 3,690 launches that month and more than 95% of that year's launches. The site was not reachable when checked in September 2026.
In plain words
A Natural Language Query Engine Without Machine Learning is an AI tool that processes natural language queries without relying on machine learning algorithms. Launched in 2016, it enables users to ask questions in plain English and receive results from databases or knowledge systems. The product is designed for developers and organizations seeking query solutions that operate through rule-based or symbolic approaches rather than neural networks, making it suitable for scenarios where interpretability and explicit logic are prioritized over statistical learning models.
written from the facts on this page · September 2026
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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 Querying2013 · samuru.com · ▲17
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