Vespa Newsletter, January 2022

The Vespa Newsletter from January 2022 highlights several updates and enhancements to their platform, focusing on improved performance and functionality. Key updates include faster node recovery and re-balancing by doubling data migration throughput, configurable re-indexing speeds to optimize resource usage during schema changes, and the release of pyvespa 0.14.0, which introduces a retry strategy for various data operations and new deployment options. The newsletter also details enhancements to the Query API, such as improved support for weakAnd queries with unstructured input and better synonym expansion rules. Additionally, it discusses the switch from Optimaize to OpenNLP for language detection in documents and queries and introduces new blog posts on topics like ML model serving at scale and billion-scale nearest neighbor searches.