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 ...

For a long time, vector databases were a bit of a niche product, but because they are uniquely suited to provide context and long-term memory to large language models, everybody in the database ...

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

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

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.

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 ...

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

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 ...