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Vespa Newsletter, October 2022
Advances in Vespa features and performance include a BertBase Embedder / model hub, improved query performance, paged attributes, ARM64 support and term bolding in string arrays.
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Building Billion-Scale Vector Search - part two
Searching billion-scale datasets without breaking the bank.
Vespa on ARM64
Vespa is now released as a multiplatform container image, supporting both x86_64 and ARM64.
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Building Billion-Scale Vector Search - part one
How fast is fast? Many consider the blink of an eye, around 100-250ms, to be plenty fast.
Pre-trained models on Vespa Cloud
Vespa Cloud now provides pre-trained ML models for your applications
Text embedding made simple
Vespa now lets you create a production quality semantic search application from scratch in minutes
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Vespa Newsletter, September 2022
Advances in Vespa features and performance include rank-phase statistics, detailed rank performance analysis, new query- and trace-applications and a new training video!
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Will new vector databases dislodge traditional search engines?
Doug Turnbull asks an interesting question on Linkedin; Will new vector databases dislodge traditional search engines?
IR evaluation metrics with uncertainty estimates
Compare different metrics and their uncertainty in the passage ranking dataset.
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Summer internship at Vespa
After the summer internship of 2022 the intern has summarized what he has done and his experience at Vespa
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Managed Vector Search using Vespa Cloud
This blog post describes how your organization can unlock the full potential of multimodal AI-powered vector representations using Vespa -- the industry-leading open-source big data serving engine.
Photo by Scott Graham on Unsplash
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