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Vespa Blog
We Make AI Work
Posts by Jon Bratseth
Have you ever wondered how the world’s largest internet and social media companies can deliver algorithmic content to so many users so fast?
The purpose of using vectors is to improve quality, but that takes much more than a similarity lookup. Search engines are built for that, databases...
With Vespa, Vinted managed to halve the number of servers, slash query latency by 2.5x, indexing latency by 3x, and increase ranking depth by more...
E-commerce platform Farfetch explains how they use Vespa to scale their online recommendation system
Vector search experts Marqo choose Vespa as their vector database after benchmarking against Milvus, OpenSearch, Weaviate, Redis, and Qdrant.
The Singaporean government leverages Vespa to do semantic search in every word ever said in Parliament
Why did Vespa score "Exceptional" on Embedding Flexibility in GigaOm's report on Vector Databases?
Combining scale and quality takes more than vector similarity search
Although we're more than a vector database, we're happy to be recognized as a leader in this category
Vector search in trillions of personal documents can be done cost-effectively with vector streaming search.
Announcing a $31 million investment from Blossom Capital
Vespa is becoming its own company!
With personal data, you need complete results at low cost, something vector databases cannot provide. Vespa's new vector streaming search delivers complete results at a...
Langchain now comes with a Vespa retriever.
Vespa Cloud now provides pre-trained ML models for your applications
Vespa now lets you create a production quality semantic search application from scratch in minutes
Announcing the release of Vespa 8 - the next major version of vespa.ai
What is the hardest problem in applied computing? My bet is on big data serving — computing over large data sets online.
The most advanced companies of the world are busy moving their computation over data online. But why?
By now it’s well known that making effective use of data is a competitive advantage. But how advanced is your organization at making use of...
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