The world tried to kill Andy off but he had to stay alive to to talk about what happened with databases in 2025.

Pinecone recently announced the public preview of Dedicated Read Nodes (DRN), a new capacity mode for its vector database ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

On Wednesday, Wikimedia Deutschland announced a new database that will make Wikipedia’s wealth of knowledge more accessible to AI models. Called the Wikidata Embedding Project, the system applies a ...

What if the power of advanced natural language processing could fit in the palm of your hand? Imagine a compact yet highly capable model that brings the sophistication of retrieval augmented ...

Vector embeddings are the backbone of modern enterprise AI, powering everything from retrieval-augmented generation (RAG) to semantic search. But a new study from Google DeepMind reveals a fundamental ...

What if the future of AI wasn’t just smarter but also more private, efficient, and accessible? Enter EmbeddingGemma, a new open model designed to transform how text embeddings are generated and used.

As light rail plays a growing role in sustainable cities, Innovation Director Dr Adam Nevin explains how Trelleborg Polyurethane Products’ Vector system is helping to solve the challenges of vibration ...

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 ...

Currently, vector-io providers do not have a way to configure the embedding model at the provider level. When creating vector stores, users must manually specify the ...