Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Agent workflows make transport a first-order ...

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 ...

Modern semantic search does not have to require a separate vector database. Data architects, database engineers, developers, or platform leaders can integrate Vertex AI and Cloud SQL vector indexes ...

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 ...

Cloud database-as-a-service provider Couchbase Inc. today added some powerful new capabilities to its platform that should enhance its ability to support more advanced generative artificial ...

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 ...

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 ...

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 ...

The AI boom has launched numerous conversations on what's possible as more people grasp AI’s ability to transform the workplace, the economy and society at large. However, as the buzz around this ...