In today’s data-driven world, the exponential growth of unstructured data is a phenomenon that demands our attention. The rise of generative AI and large language models (LLMs) has added even more ...

Learn how to use vector databases for AI SEO and enhance your content strategy. Find the closest semantic similarity for your target query with efficient vector embeddings. A vector database is a ...

Built by the team behind Amazon SageMaker. Having attracted investment by Wing Venture Capital, with Wing’s Founding Partner and early Snowflake investor, Peter Wagner, joining startup Pinecone’s ...

SAN FRANCISCO--(BUSINESS WIRE)--Elastic (NYSE: ESTC) today announced Elasticsearch Vector Database, a new serverless offering purpose-built for large-scale vector search and AI applications.

Have you ever searched for something online, only to feel frustrated when the results didn’t quite match what you had in mind? Maybe you were looking for an image similar to one you had, or trying to ...

Available now in public preview on Zilliz Cloud, Vector Lakebase keeps production vector search at its core and adds shared lake-native storage and on-demand compute — bringing real-time serving, ...

I honestly intended to learn about vector databases just as a matter of general knowledge. Every time I read about embeddings ...

A vector database is a type of database technology that's used to store, manage and search vector embeddings, numerical representations of unstructured data that are also referred to simply as vectors ...

REDWOOD CITY, Calif., June 22, 2026--(BUSINESS WIRE)--Zilliz, the company behind Milvus, the world's most widely adopted open-source vector database, today announced the public preview of Zilliz ...