Dainius J.
DJ
Senior ML architect
Mid-Market (51-1000 emp.)
"Vespa’s Powerful Ranking Framework and Smooth Scaling for High Performance"
5/5
What do you like best about Vespa.ai?

The crown jewel for me is the ranking framework: it offers everything from handwritten expressions to large neural network rerankers running on GPUs. And when you run into special cases, the custom searchers help covering that last mile.

I think it is great that you can develop any Vespa application on a laptop, and then scale it to huge workloads as is.

Performance is very important for me and the design of Vespa allows to experiment fairly quickly with a bunch of parameters.

Vespa is open source and with a coding agent in the repository you can be an expert of the system. Review collected by and hosted on G2.com.

What do you dislike about Vespa.ai?

Vespa documentation is pretty shallow and doesn't cover what combination of features works well together: you need to experiment. Review collected by and hosted on G2.com.

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4.7 out of 5 · Verified reviews from real users

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