Companies across every industry increasingly understand that making data-driven decisions is a necessity to compete now, in the next five years, in the next 20 and beyond. Data growth — unstructured ...

Vector databases don't get as much love as their flashier counterparts, large language models (LLMs). But the startups building them are still crucial to the current AI revolution, and investors are ...

Zilliz, a leading AI data infrastructure company and the creator of Milvus, recently announced a major update to VectorDBBench (VDBBench), an open-source, vendor-neutral benchmark for vector databases ...

Amazon Web Services Inc. today announced the general availability of vector search to DynamoDB, the company’s ...

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 space ...

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 that it ...

The emergence of vector databases and vector search for handling massive quantities of complex data have radically transformed the way AI is implemented and managed. As a specialized approach for ...

In the age of generative AI (genAI), vector databases are becoming increasingly important. They provide a critical capability for storing and retrieving high-dimensional vector representations, ...

A Scalable Vector Database, a cutting-edge solution, is meticulously designed to efficiently manage high-dimensional vector data. Unlike traditional databases that handle data types such as strings ...

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