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thirdtrigger
searching Neon…
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6 ms
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31.
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NASA's GES-Disc Graph-Enabled Vector Search [pdf]
(static.sched.com)
6 points
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thirdtrigger
4y ago
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0 comments
32.
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thirdtrigger
4y ago
MESHCode is a theory about how information might be stored in the brain. Very interesting and potentially has other implications for information storing as well. Check "The Mechanical Basis of Memory – the MeshCODE Theory": https
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Using Cross-Encoders as reranker in multistage vector search
(weaviate.io)
8 points
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thirdtrigger
4y ago
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1 comments
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Weaviate 1.14 Release
(weaviate.io)
4 points
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thirdtrigger
4y ago
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0 comments
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thirdtrigger
4y ago
For Weaviate, you can check: https://weaviate.io/developers/weaviate/current/benchmarks/a... This is not a benchmark against other OSS solutions, but it gives you an understanding of what performance you
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by
thirdtrigger
4y ago
Great article! Thanks for sharing
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Vincent Warmerdam on Applications of Nearest Neighbor Search
(youtube.com)
2 points
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thirdtrigger
4y ago
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0 comments
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thirdtrigger
4y ago
Thanks, that's actually helpful :)
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The AI-First Database Ecosystem
(forbes.com)
2 points
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thirdtrigger
4y ago
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2 comments
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Semantic Search Through Wikipedia
(console.semi.technology)
2 points
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thirdtrigger
4y ago
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0 comments
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thirdtrigger
4y ago
There is also a podcast where the results are discussed: https://youtu.be/kG3ji89AFyQ
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Vector search engine ANN benchmarks
(weaviate.io)
3 points
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thirdtrigger
4y ago
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2 comments
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Search through Y Combinator startups with Weaviate
(youtube.com)
1 points
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thirdtrigger
4y ago
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0 comments
44.
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thirdtrigger
4y ago
Agreed! You can check out Weaviate too. It includes out of the box vectorization modules
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thirdtrigger
5y ago
Super cool article, we work on OSS vector search technology (Weaviate) as well and I can confirm that we see many similar use cases especially with multi-model models and rerankers.
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Yury Malkov and Etienne Dilocker about HNSW in the Weaviate vector search engine
(youtube.com)
1 points
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thirdtrigger
5y ago
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0 comments
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Database technology evolves to combine machine learning and data storage
(venturebeat.com)
1 points
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thirdtrigger
5y ago
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0 comments
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Arvind Neelakantan of OpenAI on the Embeddings API on the Weaviate Podcast
(youtube.com)
2 points
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thirdtrigger
5y ago
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0 comments
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thirdtrigger
5y ago
Thanks and couldn't agree more! Its great to see how these models work in harmony with a vector search engine like Weaviate.
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Text2vec-Openai Module in Weaviate
(semi.technology)
6 points
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thirdtrigger
5y ago
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2 comments
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Native Support for Binary Hashing in the Weaviate vector search engine
(twitter.com)
2 points
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thirdtrigger
5y ago
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0 comments
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thirdtrigger
5y ago
Did you see this blog? https://db-engines.com/en/blog_post/87 It's an interesting point tho. Maybe it's good to add this to the docs as well
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thirdtrigger
5y ago
> I am still waiting to see an end to end API doing all this That’s kinda the idea of Weaviate. You might like the Wikipedia demo dataset that contains all this. You indeed need to run this demo on your own infra but the whole setup (fro
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thirdtrigger
5y ago
Not true – Weaviate is open source: https://github.com/semi-technologies/weaviate
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thirdtrigger
5y ago
We are actually discussing this on the Weaviate Slack :-) https://weaviate.slack.com/archives/D02JM9D3HND/p16347312830...
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thirdtrigger
5y ago
That's a fair question – but I'm going to assume the open-source nature is being meant with this.
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thirdtrigger
5y ago
Jup – this is an example from the demo dataset in the docs: https://link.semi.technology/3DPcphe
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thirdtrigger
5y ago
These are all great! There is also this video about modern search engines and Weaviate on the AI Coffee Break YT channel: https://www.youtube.com/watch?v=YkK5IKgxp-c
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thirdtrigger
5y ago
Interesting – we are working on an open source vector search engine called Weaviate and did the same for the complete Wikipedia and Wikidata. [1] Docs: https://www.semi.technology/developers/weaviate/current/
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Etienne Dilocker on Vector Search Engines and Weaviate
(youtube.com)
2 points
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thirdtrigger
5y ago
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0 comments
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