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Shameless plug from someone not related to the project. Try https://vespa.ai https://vespa.ai , fully open-source, very mature hybrid search with dense and appr
by bratao 4y ago
Shameless plug from someone not related to the project. Try https://vespa.ai 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.
- kofejnik 4y agoomg so cool, thank you!
- forrest2 4y agoVespa looks pretty compelling; indexing looks like a dream. I'd recommend basically anything else over a customized ES / Solr cluster. Some of the least fun clusters to manage. Great for simple use-cases / anything you see in a tutorial. The moment you walk off the beaten path with them, best of luck. Just an anecdote
- binarymax 4y agoSolr has its quirks for sure, but I’ve seen multi-terabyte sized indices running with great relevance and performance. I would call it a mechanics search engine. It is very powerful but you need to get your hands dirty.
- mountainriver 4y agoVespa seemed like a total mess compared to Milvus when I picked them up
- peterstjohn 4y agoTwo big reasons for Vespa over Milvus 1.x: * Filtering * String-based IDs (a caveat that I haven't used Milvus 2.x recently, which does fix these issues, but brings in a bunch of other dependencies like Kafka or Pulsar)
- lmeyerov 4y agocan vespa index 100M+ vectors on a regular RAM cpu server? any faster w/ a gpu (T4 / A10)?
- jkb79 4y agoYes, https://blog.vespa.ai/vespa-hybrid-billion-scale-vector-search/ https://blog.vespa.ai/vespa-hybrid-billion-scale-vector-sear...
- lmeyerov 4y agoSuper promising, thanks. Will definitely watch for production readiness - this direction is a big deal as we find most data is cold (logs, docs, ..), not hot, and finally starts becoming more relevant than just doing ES or our own!