Vespa Newsletter, October 2022

The Vespa Newsletter for October 2022 announces several updates and improvements to the Vespa.ai platform, highlighting its enhanced capabilities and flexibility. Users can now create vector embeddings without custom Java code, leveraging BERT-style models for semantic similarity in document retrieval. Vespa Cloud simplifies this process further by providing pre-integrated machine learning models. The platform introduces improved query performance through bitvector optimization for frequent terms and extended paging support for all attribute types, excluding tensor with fast-rank and predicate. Additionally, multi-platform support now includes ARM64, and query result highlighting has been expanded to arrays of strings. The transition of Vespa scripts to Go from Perl aims to broaden compatibility across client platforms.

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