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

But AI systems that rely on vector databases are introducing risks faster than the defenders can keep up. Security, privacy and compliance teams are on their heels trying to catch up.

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, which catalog and structure data, are crucial to LLMs. Here are seven startups that are building them.

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 ...

The semantic search capabilities added to the database offering include a new vector data type, vector indexes, and vector search SQL operators.

Join us as we discuss a comprehensive exploration of vector databases, their role in AI solutions, and the emerging trends and technologies that are shaping their development.