Use natural language to query and visualize 400M tweets
We've been working hard for the last year on building HeavyIQ, an LLM-powered plugin to the GPU-accelerated HeavyDB database, that allows users to ask natural language questions and get SQL, visualizations, and natural language answers back. The LLM itself is fine-tuned on tens of thousands of question and answer pairs, with a major focus around building the model’s proficiency at performing spatial and temporal joins. You can try it for yourself on this live demo of 400M tweets and a handful of other datasets of interest:…
In plain words
HeavyIQ is an AI-powered plugin for HeavyDB that lets users query large datasets using natural language. Users ask questions and receive SQL queries, visualizations, and written answers. The underlying language model is fine-tuned on thousands of question-answer pairs with emphasis on spatial and temporal joins. A live demo allows exploration of 400 million tweets and other sample datasets without coding.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
We've been working hard for the last year on building HeavyIQ, an LLM-powered plugin to the GPU-accelerated HeavyDB database, that allows users to ask natural language questions and get SQL, visualizations, and natural language answers back. The LLM itself is fine-tuned on tens of thousands of question and answer pairs, with a major focus around building the model’s proficiency at performing spatial and temporal joins. You can try it for yourself on this live demo of 400M tweets and a handful of other datasets of interest: https://demo-heavyiq.heavy.ai/us_tweets/sql-notebook For more info on the model and capabilities please read our blog: https://www.heavy.ai/blog/heavyiq-conversational-analytics
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