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 ...

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 ...

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 ...

Unstructured today announced a partnership with Teradata to deliver data ingestion and processing as a native capability inside Teradata Enterprise Vector Store. Expected to be available to eligible ...

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 ...

Vector databases and search aren’t new, but vectorization is essential for generative AI and working with LLMs. Here's what you need to know. One of my first projects as a software developer was ...

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 ...