Qdrant Cloud Inference simplifies building applications with multimodal search, retrieval-augmented generation, and hybrid ...

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.

For example, a vector database can find images similar to a given image, or text similar to a given text. With vectors, LLMs can process requests quickly delivering the performance needed to run ...

High-performance open-source vector database Qdrant today announced it’s launching a new managed hybrid cloud model of its database to power enterprise artificial intelligence apps under the ...

Vector databases, on the other hand, store and process data in the form of vector embeddings, which convert text, documents, images, and other data into numerical representations that capture the ...

Vector databases, for the uninitiated, are geared toward storing such unstructured data, like images, videos and text, allowing people (and systems) to search unlabeled content, which is ...

Though vector support in databases has become table stakes in 2024, it’s often up to users to figure out and manage the process of converting existing data into vector embeddings.

With the vector model, Adobe is notably launching its first text-to-vector AI image generator. It's been a busy year for generative AI, and Adobe has not been content to sit it out.

Diving deep into Vector Database Each vector in a vector database is associated with an object or item, such as a word, image, video, movie, document, or any other form of data.

Oracle Corp.'s flagship database management system is now available as a cloud service. Oracle Database 23ai features vector search and more than 300 additional major features, with many focused on s ...