Redis scales vector data, improves data integration capabilities. Sean Michael Kerner @TechJournalist. August 15, 2023 6:00 AM. Futuristic server room with the ...

Vector databases don’t just store your data. They find the most meaningful connections within it, driving insights and decisions at scale. A vector database is just like any other database in ...

Vector databases are ideal for applications where the goal is to find data points similar to a given vector. For example, a vector database can find images similar to a given image, or text ...

Vector embeddings on data lakehouse not only avoids the ingress and egress complexities and cost but also can scale to massive volumes,” said Kaushik Muniandi, engineering manager at NielsenIQ. “We ...

Milvus, a Linux Foundation AI and data project, for example, is a well-known vector database of choice among enterprises that’s easy to try out because of its vibrant open source development.

LONDON, Sept. 26, 2023 — MongoDB, Inc. today at MongoDB.local London announced new capabilities, performance improvements, and a data-streaming integration for MongoDB Atlas Vector Search that make it ...

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 ...

But without vector stores—specifically those that integrate with existing databases—enterprises will struggle to understand their data, connect AI initiatives to broader goals and use agentic ...

(Zilliz notes that its vector database “is both cloud native and capable of processing billion-scale vector data in milliseconds.”) Techcrunch event Save $450 on your TechCrunch All Stage pass ...

By adding support for ANN instead, Rockset makes it possible to create vector embeddings for any AI model and index them for fast similarity search at massive scale, the company said.