In this post we explore a text-to-image search application on Vespa using approximate nearest neighbor search on vector representations of text and images.
Advances in Vespa features and performance include improved schema inheritance, Intellij plugin for schemas, Hamming distance in ranking, and performance gains in data dump and application deployment.
The new slicing feature in /document/v1 splits visiting across independent HTTP requests, letting throughput scale with the number of container nodes or clients.
Advances in Vespa features and performance include Vespa CLI, nearest neighbor performance improvements, mTLS security, improved write throughput and Sentencepiece Encoder.
Advances in Vespa features and performance include HTTP/2 feed and query endpoints, ONNX Runtime integration for stateless model inference, and the new open Vespa Factory build and test system.
It has become increasingly important to efficiently evaluate machine-learned models in the stateless container cluster. We have recently added accelerated model evaluation here, which opens up new usage areas.
The Vespa HTTP container now accepts HTTP/2 with TLS enabled. Learn how this improves HTTP throughput and efficiency, and how to get started using HTTP/2.