All Stories

Vespa Product Updates, September 2021

Advances in Vespa features and performance include Vespa CLI, nearest neighbor performance improvements, mTLS security, improved write throughput and Sentencepiece Encoder.

Computing with tensors in Vespa

In this blog post, we'll explore some of the unique properties of tensors in Vespa.

Introducing Vespa CLI

The official command-line tool for Vespa is now available.

Securing Vespa with mutually authenticated TLS (mTLS)

Learn how to secure both the application container and the Vespa internal communication of your Vespa application.

Internship at Vespa

After the summer internship of 2021 the interns have summarised what they have done and their experience at Vespa

Vespa Product Updates, July 2021

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.

Accelerating stateless model evaluation on Vespa

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.

Improve throughput and concurrency with HTTP/2

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.

Pretrained Transformer Language Models for Search - part 4

This is the fourth blog post in a series of posts where we introduce using pretrained Transformer models for search and document ranking with Vespa.ai.

Build a basic text search application from python with Vespa: Part 2

Evaluate search engine experiments from python.

Pretrained Transformer Language Models for Search - part 3

This is the third blog post in a series of posts where we introduce using pretrained Transformer models for search and document ranking with Vespa.ai.

Pretrained Transformer Language Models for Search - part 2

This is the second blog post in a series of posts where we introduce using pretrained Transformer models for search and document ranking with Vespa.ai.