The vector database market is experiencing rapid growth, with projections estimating it will reach $10.6 billion by 2032, ...

Amazon Web Services is adding vector search and vector embedding capabilities to three more of its database services, including Amazon MemoryDB for Redis, Amazon DocumentDB, and Amazon DynamoDB, the ...

Bring AI to your database! Learn how to build smarter apps with vector search in SQL Server & Azure Cosmos DB -- no extra AI ...

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. One of my first projects as a software developer was ...

Today, this vector-based approach has evolved into sophisticated vector databases, systems that mirror how our own brains process and retrieve information. This convergence of human cognition and ...

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 ...

About two years ago, popular cache database Redis was among a wave of vendors that added vector search capabilities to their platforms, driven by the surge of interest in generative AI.… ...

Traditional databases often fall short in managing this type of data efficiently. That’s where vector databases come into play. They encode information as vectors in a multi-dimensional space ...

It combines the generative power of LLMs with external data sources (vector databases for isntance) to provide more accurate and context-aware responses. We've asked experts at Vectorize and they ...