In previous articles we used Google’s PaLM API to generate a blog post and build a chatbot. In this article, we will explore how to generate text embeddings and perform semantic searches using the ...

Data series similarity search and indexing represent a critical area in data science, underpinning a multitude of applications from finance to climatology. These techniques facilitate the rapid ...

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Yahoo today is announcing the launch of a new feature in Flickr: the ability to search for images that are visually similar to a single given image. Running one of these searches is as simple as ...

Kinetica, the real-time GPU-accelerated database for analytics and generative AI, unveiled at NVIDIA GTC its real-time vector similarity search engine that can ingest vector embeddings 5X faster than ...

Rockset, the search and analytics company, is unveiling expanded vector search capabilities that achieve billion-scale similarity search in the cloud. Approximate nearest neighbor (ANN) search, the ...

pgEdge, the first company to offer a fully distributed database optimized for the network edge based on the standard and popular open source PostgreSQL database, is announcing newfound support for the ...

A technical paper titled “Cross-layer Modeling and Design of Content Addressable Memories in Advanced Technology Nodes for Similarity Search” was published by researchers at the Georgia Institute of ...