In the September Vespa product update, we mentioned Tensor Float Support, Reduced Memory Use for Text Attributes, Prometheus Monitoring Support, and Query Dispatch Integrated in Container.
In the August Vespa product update, we mentioned BM25 Rank Feature, Searchable Parent References, Tensor Summary Features, and Metrics Export. Largely developed by Yahoo engineers, Vespa is an open source...
In the recent Vespa product update, we mentioned Large Machine Learning Models, Multithreaded Disk Index Fusion, Ideal State Optimizations, and Feeding Improvements. Largely developed by Yahoo engineers, Vespa is an...
In last month’s Vespa update, we mentioned Tensor updates, Query tracing and coverage. Largely developed by Yahoo engineers, Vespa is an open source big data processing and serving engine. It’s...
Imagine you are tasked with creating a shopping website. How would you proceed? What tools and technologies would you choose? You need a technology that allows you to create data-driven...
In last month’s Vespa update, we mentioned Boolean Field Type, Environment Variables, and Advanced Search Core Tuning. Largely developed by Yahoo engineers, Vespa is an open source big data processing...
In last month’s Vespa update, we mentioned Parent/Child, Large File Config Download, and a Simplified Feeding Interface. Largely developed by Yahoo engineers, Vespa is an open source big data processing...
Don’t look at the comments. When you allow users to make comments on your content pages you face the problem that not all of them are worth showing — a difficult problem...
Online evaluation of machine-learned models (model serving) is difficult to scale to large datasets. Vespa.ai is an open source big data serving solution used to solve this problem and in...
In last month’s Vespa update, we mentioned ONNX integration, precise transaction log pruning, grouping on maps, and improvements to streaming search performance. Largely developed by Yahoo engineers, Vespa is an...
Vespa includes a relatively unknown mode which provides personal search at massive scale for a fraction of the cost of alternatives: streaming search. In this article we explain streaming search...
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