Vector databases and search aren’t new, but vectorization is essential for generative AI and working with LLMs. Here's what you need to know.

While DB-Engines tracks eight pure-play vector databases, there are a total of 16 databases in its vector database comparison. That’s because eight multi-modal engines, such as Kdb, Aerospike, and ...

Vector databases don’t just store your data. They find the most meaningful connections within it, driving insights and decisions at scale.

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 ...

Vector databases offer a new level of capability to search unstructured, semi-structured and structured data alike.

Well-funded vector database startup Pinecone Systems Inc. today announced a serverless version of its product aimed at artificial intelligence applications. The company said the serverless ...

When the artificial intelligence boom began a few years ago, investors flocked to startups that helped businesses transform ...

Database management startup Redis Inc. has added tons of new functionality to its platform, including vector search capabilities, native triggers and a new change data capture feature. Redis ...

Zilliz is looking to become the preferred vector database choice for LLM-powered applications through strategic enhancements and a cost-effective new pricing model that now includes a free tier. The ...

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