If you’re serious about scaling up, definitely consider Vespa (https://vespa.ai). At serious scale, Vespa will likely knock all the other options out of the park.
– Source: Hacker News
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6 months ago
Yahoo released their geographic data catalogue under open license and it still lives on as https://whosonfirst.org/ Afaik https://en.wikipedia.org/wiki/Apache_ZooKeeper started at Yahoo https://vespa.ai/ was Yahoo’s search engine for news and other content product, now spinned off (https://techcrunch.com/2023/10/04/yahoo-spins-out-vespa-its-search-tech-into-an-independent-company/).
– Source: Hacker News
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8 months ago
I think https://vespa.ai/ has the right approach in this space by focusing on being hybrid – vectors alone aren’t great for production use cases, it’s the combining of vectors+text that lets you use ranking to get meaningful result. (I’m an investor so I’m biased; but it’s also the reason why I invested).
– Source: Hacker News
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8 months ago
So what’s the catch? Why is this not everywhere? Because IR is not quite NLP — it hasn’t gone fully mainstream, and a lot of the IR frameworks are, quite frankly, a bit of a pain to work with in-production. Some solid efforts to bridge the gap like Vespa [1] are gathering steam, but it’s not quite there. [1] https://vespa.ai.
– Source: Hacker News
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9 months ago
When it comes to search I cannot disagree more. https://vespa.ai is a purpose built search engine. If you start bolting search onto your database, your relevance will be terrible, you’ll be rewriting a lot of table stakes tools/features from scratch, and your technical debt will skyrocket.
– Source: Hacker News
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about 1 year ago
Milvus (https://milvus.io) and Vespa (https://vespa.ai) are great choices if you’re looking for hardened, scalable, and production-ready vector databases. We (Milvus) also have `milvus-lite` if you’d like something pip installable:.
– Source: Hacker News
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over 1 year ago
Imo the most advanced vector DB out there is Vespa https://vespa.ai/. Harder to set up than wrappers like Chroma, but very powerful.
– Source: Hacker News
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over 1 year ago
Vespa(4.3k ⭐) → A fully featured search engine and vector database. It supports vector search (ANN), lexical search, and search in structured data, all in the same query. Integrated machine-learned model inference allows you to apply AI to make sense of your data in real time.
– Source: dev.to
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over 1 year ago
Surprised to see that no one mentioned https://vespa.ai/ the best alternative to vector DB imho.
– Source: Hacker News
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over 1 year ago
(disclaimer: former Yahoo employee) Yahoo at the time was clearly underestimated from a developer point of view. Everyone just saw them losing ground to Google in web search, but they had a really strong technology behind them that was open sourced. – YUI was a really good frontend framework based on components and events. It was so easy to create complex interfaces compared to others at the time. – Hadoop open…
– Source: Hacker News
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almost 2 years ago
Shameless plug from someone not related to the project. Try https://vespa.ai , fully open-source, very mature hybrid search with dense and approximated vector search. A breeze to deploy and maintain compared to ES and Solr. If I could name a single secret ingredient for my startup, is Vespa.
– Source: Hacker News
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about 2 years ago
For those interested in search engines, recommend checking out Vespa.ai[1][2] – the engine behind several features at Yahoo. [1] https://vespa.ai/.
– Source: Hacker News
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about 2 years ago
Yahoo released Vespa as open source: https://vespa.ai/ It has everything you need at a platform level to build a production recommendation system given that it’s the engine that powered a lot of yahoo product’s search and recommendation capabilities. I have been experimenting with it, the number of capabilities are immense. It’s really an untapped resource. Take a look at the features: https://vespa.ai/features…
– Source: Hacker News
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over 2 years ago
Good luck! For those who want an engine that already provides this functionality there’s always https://vespa.ai.
Source:
over 2 years ago
For a similar ANN/vector search capabilities, https://vespa.ai/ is a great open-source solution. Elasticsearch may offer some form of ANN too but need to double check.
– Source: Hacker News
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almost 3 years ago
In the search space there’s a large menu of new search engines like http://vespa.ai and many Rust based alternatives. Not particularly new, but the streaming world with dataflow and Flink is pretty cool.
– Source: Hacker News
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about 3 years ago
After looking at various alternatives, I’m thinking of trying out https://vespa.ai/ [0] [0] https://github.com/vespa-engine/vespa.
– Source: Hacker News
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about 3 years ago
I ran into this the other day looking for search systems you may want to check it out. https://vespa.ai.
Source:
about 3 years ago
What are the modern tech Stack behind Yahoo? Still have any FreeBSD running? Do Yahoo actually use Vespa [1] for their search engine? [1] https://vespa.ai.
– Source: Hacker News
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over 3 years ago