Ideal for projects needing vector search without relying on external Postgres instances or Docker. ⚠️ Note: The included TypeScript code is intended as example usage only. It is not production-ready ...

Vector database startup Pinecone Systems Inc. today announced a new, high-performance deployment option for customers that need to support the most demanding enterprise use cases. It’s called ...

Third time’s the charm? Microsoft hopes the scalability of Azure HorizonDB, will lure new customers where its two existing PostgreSQL databases did not. Microsoft is previewing a third ...

When I first wrote “Vector databases: Shiny object syndrome and the case of a missing unicorn” in March 2024, the industry was awash in hype. Vector databases were positioned as the next big thing — a ...

One-stop access to local and national resources What sets the VECTOR Library apart is its ability to consolidate national extension expertise and regionally specific resources into a single, ...

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Even though traditional databases now support vector types, vector-native databases have the edge for AI development. Here’s how to choose. AI is turning the idea of a database on its head.

Abstract: Vector database systems have been gaining more and more attention in recent years with the prevalence of Large Language Models. As the most important algorithmic component behind vector ...

Embedding-based search outperforms traditional keyword-based methods across various domains by capturing semantic similarity using dense vector representations and approximate nearest neighbor (ANN) ...

Yugabyte, the distributed SQL database experts, today announced new vector search, PostgreSQL, and multi-modal functionality to meet the growing needs of AI developers all in one, ultra-resilient ...

Amazon Web Services (AWS) has announced vector storage for its S3 cloud object storage – S3 Vectors – in a move it claims will reduce the cost of uploading, storing and querying vectorised data in AI ...