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Vector search is the new black for enterprise databasesSoftware slingers from Redis to Teradata are bolting on smarts to stay relevant in GenAI era About two years ago, popular ...
This valuable study introduces a self-supervised machine learning method to classify C. elegans postures and behaviors directly from video data, offering an alternative to the skeleton-based ...
As enterprises rush to deploy RAG systems, attack surfaces are evolving rapidly, and security professionals are rightfully racing to keep up. Vector and embedding weaknesses aren’t theoretical risks; ...
Have you ever searched for something online, only to feel frustrated when the results didn’t quite match what you had in mind? Maybe you were looking for an image similar to one you had, or ...
Instead of keyword-based lookups, we implemented a similarity search using vector embeddings, resulting in a 35% improvement in personalized product recommendations. In another case, a media ...
Wikidata has built the semantic web backbone supporting knowledge cards in popular engines. Now, it's extending this foundation using a vector database to enhance its existing knowledge graph and ...
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