All Stories

Vespa Product Updates, January 2021

Advances in Vespa features and performance last month include Automatic Reindexing, Tensor Optimizations and Explainlevel Query Parameter for easier query blueprint tracing.

Using approximate nearest neighbor search in real world applications

From text search and recommendation to ads and online dating, ANN search rarely works in isolation.

Vespa Product Updates, December 2020

Advances in Vespa features and performance include improved tensor ranking performance, Apache ZooKeeper integration, Vespa Python API for researchers and ONNX integration.

Stateful model serving: how we accelerate inference using ONNX Runtime

There's a difference between stateless and stateful model serving.

Fine-tuning a BERT model for search applications

How to ensure training and serving encoding compatibility.

From research to production: scaling a state-of-the-art machine learning system

How we implemented a production-ready question-answering application and reduced response time by more than two orders of magnitude.

Fine-tuning a BERT model with transformers

Setup a custom Dataset, fine-tune BERT with Transformers Trainer and export the model via ONNX.

Vespa Product Updates, October 2020

Improvement to Vespa feeding APIs

Vespa Product Updates, September 2020

Introducing ONNX-Runtime, Hamming Distance Metric, Conditional Update Performance Improvements and Compressed Transaction Log with Synced Ack

Efficient open-domain question-answering on

In this post, we reproduce the state-of-the-art baseline for retrieval-based question-answering systems within a single, scalable production ready application on

Vespa Product Updates, August 2020

Introducing NLP with Transformers, Grafana how-to, Improved GEO Search Support, Query Profile Variants Optimizations, & Build on Debian 10

Vespa Product Updates, June 2020

Announcing support for approximate nearest neighbor vector search which can be combined with filters and text search with state-of-the art performance