Overview
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What is Vespa?
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Overall experience with Vespa
“Powerful backend for vector and hybrid search with many bells and whistles.”
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Reviewer Insights for: Vespa
Vespa Likes & Dislikes
We purchased the Enclave product which was really well-suited for us because it let us run the hosts in our own Google cloud account, and thus didn't require us to transfer any data out which was well-aligned with our security stance. It provided light-touch deployment and observability services that we lacked and helped us bootstrap quickly and with minimal investment. The Vespa search backend itself provided a good match to our requirements of near-real time hybrid search, combining nearest neighbor embedding search with attribute filters, in a distributed and highly scalable way. Our target installation comprised >12TB of memory across 24 hosts and held O(1B) vector embeddings.
Performance and reliability, support level from the team and the high level of customization of search pipelines it allows for.
The quality and efficiency of the product with the fact that we can very easily customize it to fit our needs.
Vespa, in a scalable deployment, presents a fairly complex architecture with a lot of tuning knobs and bells and whistles. It took several months to get familiar with them. The Vespa consultant was very instrumental in this. Feeding Vespa from BigQuery was harder than expected. Native extensions can only be written in Java which, without a native Java toolchain at our company, proved too challenging to pursue. The documentation is vast but could be better organized and have more contextual examples in places.
The learning curve is high and the surface area is large (special schema language, query language, grouping language, tensor framework etc). Not all features work in all contexts you would expect. There are gaps in documentation.
1. Pricing - Auto-scale is not working that well, deciding which instance will fit our needs the most, etc. 2. Application monitoring - its not easy to understand which logs are crucial and which are not, their monitoring dashboard is still Beta and not detailed enough in my opinion 3. Documentation - Have more examples and documentation about some technical implementations
Top Vespa Alternatives
Peer Discussions
Vespa Reviews and Ratings
- Staff ML Systems Engineer<50M USDTransportationReview Source
Powerful backend for vector and hybrid search with many bells and whistles.
The Vespa team is extremely responsive and very pleasant to work with. We got immediate access to high-level people in the company and we had a regular weekly meeting with the rep who was extremely well-versed in Vespa and its deployment and typical customer concerns and was often able to debug things by just asking a few questions and most of the time his guesses were spot-on. He als checked-in on critical deployments at times over the weekend. We really felt well cared-for in the whole experience. - Senior Software Engineer<50M USDSoftwareReview Source
Vespa platform review
Rock solid search platform that scales to large datasets and has very good performance. The support from the vespa team is fantastic: They are always responsive and helpful in both community slack and via support tickets. - Software Development Manager50M-1B USDMediaReview Source
Vespa AI product: A comprehensive Two-Year User Perspective
Overall, we are very happy with Vespa's product, we have been using it for almost two years now and the experience was pretty good. Their product is quite simple to use and their support and tech teams are helping with everything we need. Documentation can sometimes be more detailed as there were a few issues that we needed their tech team to explain to us how and why and were not documented well enough. - Sr. Director of AI-Powered Search Services1B-10B USDSoftwareReview Source
Exploring Vespa's AI Solutions: From Semantic Searches to Low Operational Costs
Vespa is the leading solution in AI-oriented search engines. We use Vespa in many core services to implement end-user recommendations and personalized search capabilities. Vespa is a key component in our AI-powered solutions and RAG-based applications where we utilize Vespa's semantic and hybrid search features. - VP, Engineering10B+ USDBankingReview Source
Very highly scalable and available and hands free search solution
Team Vespa has provided very prompt support throughout our onboarding process to setup vespa instances on prem. They have prioritized many pressing issues arising in our virtualized environments and provided reasonable responses to our feature requests.