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Vespa Newsletter, July 2023

Blog post from Vespa

Post Details
Company
Date Published
Author
Kristian Aune
Word Count
812
Language
English
Hacker News Points
-
Summary

Vespa's July 2023 newsletter highlights several advancements, including the introduction of Vector Streaming Search, which enables efficient and cost-effective vector searches in personal data applications. The platform now supports embedding models from Huggingface, allowing developers to import these models in ONNX format for accelerated inference. Additionally, GPU acceleration has been introduced for embedding model inferences, enhancing the processing speed and scalability of large text data. Vespa Cloud users have access to the E5 family of text embeddings, known for their adaptability across various tasks. The newsletter also details the support for a dotproduct distance metric for Maximum Inner Product Search (MIPS) and improvements in searching capabilities, such as emoji indexing and multivalue field sorting. The update includes various performance optimizations, such as reduced static memory usage for multivalue attributes, and highlights recent blog posts and events, encouraging users to explore Vespa Cloud and the latest releases.