Ask Relevance – no-code GPT QA on data, managed Vector search and GPT
Hey all, we've seen increasing interest for leveraging GPT's capability but basing it off of your own data so we launched a new feature "Ask Relevance" a little while ago and our users have loved it. There have been some great tutorials on how you can do this and we thought we'd share our approach with the community as we believe it's very accessible. Under the hood, it's using vector search to extract relevant content from the dataset and then using that to feed it into GPT. The post features a video where you can see it in action answering specific questions about the Relevance AI…
Ask Relevance – no-code GPT QA on data, managed Vector search and GPT launched on February 4, 2023 with 5 votes, #1,864 of 3,829 launches that month and more than 50% of that year's launches. The site was not reachable when checked in September 2026.
What it does
In the maker’s words, at launch
Hey all, we've seen increasing interest for leveraging GPT's capability but basing it off of your own data so we launched a new feature "Ask Relevance" a little while ago and our users have loved it. There have been some great tutorials on how you can do this and we thought we'd share our approach with the community…
Does a similar job
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Ask by Relevance AI2023 · relevanceai.com · ▲98From documentation to GPT-4 powered support in 5 minutes
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We’ve trained a generative AI model to browse the web and answer questions/retrieve code snippets directly. Unlike ChatGPT, it has access to primary sources and is able to cite them when you hover over an answer (click on the text to go to the source being cited). We also show regular Bing results side-by-side with our AI answer. The model is an 11-billion parameter T5-derivative that has been fine-tuned on feedback given on hundreds of thousands of searches done (anonymously) on our platform. Giving the model web access lessens its burden to need to store a snapshot of human knowledge…

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Source: Show HN post ↗ · launch text quoted in part