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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.



Vespa 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


Solr 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.


can vespa index 100M+ vectors on a regular RAM cpu server? any faster w/ a gpu (T4 / A10)?



Super 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!


Vespa seemed like a total mess compared to Milvus when I picked them up


Two 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)


omg so cool, thank you!




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