This capability is crucial for AI applications that require a deep understanding of unstructured data. Vector databases are transforming how unstructured data is managed and used across various ...

Vector embeddings are produced by foundational models such as OpenAI's ChatGPT and are used to represent chunks of language – ...

giving developers more direct control over the underlying vector data - a shift aimed at flexibility and performance. “It’s extremely fast, easy to compose, and flexible in terms of how you implement ...

The Vector API gives Java developers everything they need to tap into CPU-level performance gains for numerically intensive ...

The Coolest Database System Companies Of The 2025 Big Data 100 include Cockroach Labs, Couchbase, EDB and MongoDB.

Redis also introduced vector sets, a new native data type in Redis written by Redis’ creator, Salvatore Sanfilippo. Vector sets allow developers to easily access and work with vectors and use them in ...

Performance Advisor transcends traditional monitoring tools by streamlining alerts and reducing data ... vector search capabilities, while retaining the full power and familiarity of PostgreSQL, ...

New capabilities provide enhanced observability and go beyond pgvector to accelerate the development of resilient and scalable generative AI applications ... framework for vector support ...