Qdrant, the leading provider of high-performance, open source vector search, is debuting Qdrant Cloud Inference, a new solution for generating text and image embeddings directly within managed Qdrant ...

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 databases are ideal for applications where the goal is to find data points similar to a given vector. For example, a vector database can find images similar to a given image, or text ...

Startup Zilliz Inc., best known as the creator of the Milvus vector database, announced today it has raised $60 million through an extension to its earlier $43 million Series B round of funding. ...

In preview through Azure Cognitive search, Vector Search uses machine learning to capture the meaning and context of unstructured data, such as images and text. The idea is to make search faster.

Vector images also have the tendency to stand out with their attractive use of color, texture, depth, and layers. This gives businesses another reason to use them in their promotional content.