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 ...
Process Diverse Data Types at Scale: Through the Unstructured partnership, organizations can automatically parse and transform documents, PDFs, images, and audio into high-quality embeddings at ...
Microsoft at its annual Inspire conference announced the availability of Vector search, a technique for finding related objects. In preview through Azure Cognitive search, Vector Search uses machine ...
Database management startup Redis Inc. has added tons of new functionality to its platform, including vector search capabilities, native triggers and a new change data capture feature. Redis started ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Ludi Akue discusses how the tech sector’s ...
The investment narrative around Elastic (ESTC) has gotten more upbeat thanks to increasing interest in the company’s latest AI initiatives. Last week, shares of Elastic, a provider of an AI-powered ...
Database startup DataStax Inc. has announced general availability of its new vector search capability for every version of Astra DB, a popular database-as-a-service offering that’s built atop the open ...
Vector databases are the unsung heroes of the modern AI movement, storing unstructured data such as images, videos and text to enable people and systems to search uncategorized content. They are ...
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 ...
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