Because vector databases reduce the need to structure data, we can substantially speed up training times for generative AI models by automating much of the work around processing unstructured data ...

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 ...

Vector data is a sub-type of so-called high-dimension data. This is data – to simplify significantly – where the number of features or values of a datapoint far exceed the samples or data ...

Vector Databases excel in conducting large-scale similarity searches and streamlining data management for cutting-edge AI applications. Their key advantage lies in supporting specialized vector ...

Since the turn of the year, we’ve also seen Index Ventures lead a $9.5 million seed round into Superlinked, a platform that transforms complex data into vector embeddings.

SAN FRANCISCO-- (BUSINESS WIRE)--Zilliz, a leading vector database company and the inventor of Milvus, announced today that it has raised a $60 million extension to its initial $43 million Series ...

In our data, each I (s) trace has N =2,000 data points, resulting in the same number of dimensions in vector space. (Simplified) distance vector Y and θ are shown for the plain plateau.

Vector databases unlock the insights buried in complex data including documents, videos, images, audio files, workflows, and system-generated alerts. Here’s how.

Part 1. Create a vector database in Postgres In part 1 we create a vector database in Postgres and populate it with data from a vectorized set of HTML pages. The steps: ...