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 ...

Tiered multitenancy allows users to combine small and large tenants in a single collection and promote growing tenants to dedicated shards. Qdrant has released Qdrant 1.16, an update of the Qdrant ...

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 ...

ℹ️ What is ZeusDB Vector Database? ZeusDB Vector Database is a high-performance, Rust-powered vector database designed for blazing-fast similarity search across high-dimensional data. It enables ...

Think about how people ask about sunglasses. In the old search model, someone queries “best smart sunglasses” and scans the links in a SERP. In the new model, they ask, “What’s the deal with Meta ...

As developers look to harness the power of AI in their applications, one of the most exciting advancements is the ability to enrich existing databases with semantic understanding through vector search ...

Abstract: The rise of unstructured data retrieval in the AI era has created an urgent need for vector databases that manage high-dimensional vector embeddings and provide efficient vector search ...

Setting up a memory database integrated with an MCP (Model Context Protocol) server can significantly enhance how you manage and retrieve data. By using OpenAI’s file store and vector database ...

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 ...