A vector database becomes essential when handling unstructured data requiring complex algorithmic work, such as high-dimensional data, similarity searches, real-time AI applications, or when ...

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.

Around the time Pokemon Go came out, my company worked on a similar semi-augmented reality GPS game played on top of a map. I ended up building a vector tile server for slicing OSM data, and the ...

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.

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

With Redis Data Integration (RDI) in the Redis 7.2 update, the company is providing an integrated approach to help get data from other data sources including Oracle Database, PostgreSQL, MySQL and ...

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.

They get most of their licensed map data as vector rather than raster. [/quote] Google has had vector maps on the web for several months now, just turn on WebGL.