An analysis of vector database options would be incomplete without a mention of data protection i.e. a business needs to plan for contingencies such as deletions, misconfigurations or cyber ...

Vector similarity search uses machine learning to translate the similarity of text, images, or audio into a vector space, making search faster, more accurate, and more scalable.

The tiles come from a vector tile server [Craig] wrote earlier that can serve up tiles from OpenStreetMap data. In a relatively small amount of code, he had a passable map solution that could zoom ...

There is no universal ‘best’ vector database—the choice depends on your needs. Evaluating scalability, functionality, performance, and compatibility with your use cases is vital.

Alternate title: You Khan’t Divide a Vector by a Vector. Get it? Maybe you don’t, but that is ok. Really, I was going to make this a video critique of Sal Khan’s — video critique of my ...

Learn More Data platform vendor DataStax is entering the vector database space, announcing the general availability of vector search in its flagship Astra DB cloud database.

To put it simply, if AI is the car that is driving the future of innovation, data is the energy source, and how we store that data matters.

Apple isn't just declaring its independence from Google Maps with its new in-house backend for Maps in iOS 6. It has developed a superior way to deliver map data that relies on resolution ...

Redis is introducing a 'unified release' to make products easier for users to adopt and effectively use and manage their data.

After clustering, each data item is compared to its associated cluster map vector. Data items that are farthest from their associated map cell vector are anomalous. A major weakness of most clustering ...