The intersection of graph and vector databases. With the rise of gen AI, there has been a corresponding growth in the need and demand for vector-capable databases. With a vector, ...

The vector database cloud service may attract developers with performance and cost advantages over traditional databases for AI-related workloads, analysts say. San Francisco-based Zilliz has ...

The NoSQL Database Management Systems market is set to continue steady growth in 2025, driven by rising enterprise data volumes and increased investment in artificial intelligence. Traditional ...

But now vector databases are finding themselves smack dab in the middle of the hottest workload in tech: large language models (LLMs) such as OpenAI’s GPT-4, Facebook’s LLaMA, and Google’s LaMDA. In ...

TL;DR Key Takeaways : Vector databases store and retrieve unstructured data (e.g., images, text, audio) using vector embeddings, allowing semantic search and bridging the “semantic gap ...

Vector databases don’t just store your data. They find the most meaningful connections within it, driving insights and decisions at scale. A vector database is just like any other database in ...

Real-time database vendor Aerospike is expanding its multi-model capabilities with the launch of the Aerospike Graph database.. Aerospike got its start back in 2009, providing a NoSQL database ...

As the saying goes, context is everything – and this is certainly the case with AI. To be useful, AI systems need to be able to understand nuance and deliver accurate, relevant results. Our ability to ...

Oracle Corp.'s flagship database management system is now available as a cloud service. Oracle Database 23ai features vector search and more than 300 additional major features, with many focused on s ...

Available starting today, Neo4j Aura Graph Analytics is said to work with any kind of data source, including Oracle, Microsoft SQL, Databricks, Google BigQuery, Snowflake and Microsoft OneLake.