Alternatives
Products that do what Vectorly does
Get web data behind clicks, searches, user interactions
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I'd like to invite everyone to try out DontBeEvil.rip, an experimental search engine for developers. tl;dr $ alias rip="curl -G -H 'Accept: text/plain' --url https://dontbeevil.rip/search --data-urlencode " $ rip 'q=Heartbleed bug' DontBeEvil.rip is a year long experiment to see if a small team can build a developer-focused search engine that is self-sustaining on $10 monthly subscriptions. It works by only indexing high-quality resources that are relevant to developers. You won't get useless listicles because we'll never crawl them. Relevant urls are harvested from HN,…
2022
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2013 · insightdatascience.com
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2018 · github.com
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2017 · github.com
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Last week was insane for vector search. Weaviate raised $50M, and Pinecone raised $100M... That's a lot and makes you believe that vector search is hard. But it's not. I have spent the last couple of days implementing a single-file vector search engine from scratch, which is at least the tenth in the twenty years of my career. But this time, it's different. Instead of inventing a brand new algorithm and doing some crazy optimizations on the GPU, I: 1. took the standard HNSW algorithm, 2. fitted into 1000 lines of C++11 for portability, 3. added quantization and hardware-accelerated metrics,…
2023 · github.com
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Hi HN, I'm Daniel from Superlinked! We have built an open-source framework that improves vector search relevance and usefulness by combining structured metadata with unstructured data in your embeddings. We included self-hostable API server that sits between your data sources and vector database. Docs: https://docs.superlinked.com/ We're launching our cloud offering soon where you can use Superlinked to orchestrate high-performance retrieval for RAG, Search & Recommendation apps in your own cloud. Looking for feedback and happy to answer questions!
2024 · github.com
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