Alternatives
Products that do what Metarank – open-source hybrid search with LLMs does
A small demo for a Metarank open-source project I'm maintaining.
- 1WM
Hey, HN! You probably know that the ordering of products on Amazon, posts in FB, and search results in Google is personalized for each visitor, as it directly affects conversion, click rate and engagement. But not everyone can afford to hire an army of PhDs to squeeze every penny out of the ranking, and not everyone agrees on the current (im)balance between privacy and profits. So we built Metarank, an open-source and privacy-focused personalization engine. It can rerank in real-time any type of content, using only the data you allow, and optimize metrics you define. We made a lot of…
2022 · github.com
- 2AE
2021 · ninfex.com
- 3OS
2016 · deusu.org
- 4AO
2014 · juretriglav.si
- 5BI
2020 · binarysearch.io
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- 7DS
2016 · duosear.ch
- 8WA
2020 · wiby.org
- 9AE
2018 · codegrep.com
- 10TI
2011 · github.com
- 11LP
2014 · linkwok.com
- 12MA
2019 · github.com
- 13DC
2015 · deckrank.co
- 14EW
2018 · github.com
- 15PA
2019 · github.com
- 16PD
2021 · presearch.org
- 17DA
2016 · appbaseio.github.io
- 18AO
2022 · github.com
- 19NA
2014 · needlehunt.com
- 20AB
2013 · sotosearch.com
- 21IA
2018 · ipfsearch.xyz
- 22LL
2021 · github.com
- 23AE
Hey folks, Elias here. Excited to unveil my latest project. Why I Built This: Traditional keyword search isn't cutting it. I've used LLM-embeddings to provide more nuanced, relevant results. How It Works: LLM-embedding similarity on curated datasets for semantically similar results. No need to iterate over keywords any more. Current Datasets: - YC Companies - Show HN Posts, - Ask HN Posts - ProductHunt Startups - Github Top 200k Repos Use Cases: - Validate a product idea's existence - Check if someone already Asked HN something - Have fun - search random terms and see what pops up Want to…
2023 · payperrun.com
- 24MA
Hey everyone! I’m excited to announce the release of my last project, MiniSearch. I admire Perplexity.ai, Phind.com, You.com, Bing, Bard and all these search engines integrated with AI chatbots. And as a curious developer, I took the chance and created my own version. Using Web-LLM and Transformers.js to provide browser-based text-generation models on desktop and mobile, I built a minimalist self-hosted search app on which an AI analyses the results, comments on them and responds to your query summarising the info. In the backend, it still queries a real search engine, but besides that,…
2023 · huggingface.co
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