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No code interface to customize search rankings

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    I've long worked with lexical Lucene based search engines like Solr and Elasticsearch. Anytime I need to experiment with relevance ranking in these systems, I'm exhausted by needing to set them up. It's not conducive to productivity work with something so disjoint from normal data tooling. Further - the underlying ranking is buried in needless mystique (you know a boolean should query, sums the scores, right?). You shouldn't need to read a book (like Relevant Search ;) ) to unpack mystique that's really basic math. Why not just let people build ranking systems with vectorized math in a…

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  19. 19AR

    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…

    2023 · relevanceai.com

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