Data truly isn’t just about numbers or spreadsheets anymore. With artificial intelligence (AI) and machine learning (ML) at the forefront of innovation, data is taking on new forms and uses, ...

Onehouse Inc., a company that sells a data lakehouse based on Apache Hudi as a managed service, today said it has launched a vector embedding generator to automate embedding pipelines as a part of its ...

Dutch artificial intelligence database startup Weaviate B.V. is looking to streamline the data vectorization process with a new feature that automatically transforms unstructured information into ...

New solutions eliminate friction, enabling effortless portability of unstructured data and embeddings across systems — with no downtime, no vendor lock-in, and no added cost. "Organizations working ...

Vector similarity search uses machine learning to translate the similarity of text, images, or audio into a vector space, making search faster, more accurate, and more scalable. Suppose you wanted to ...

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 ...

First solution to combine dense, sparse, and image embeddings with vector search in one managed environment. Reduces latency, cuts network costs, and simplifies hybrid and multimodal search BERLIN & ...

Cyborg CEO Nicolas Dupont describes how vector databases concentrate sensitive enterprise data in a structurally unencrypted ...

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 ...