Vector graphics have many advantages. We show you how to create a vector graphic or convert an image into an SVG file quickly and free of charge.

“Then we come to indexing, organizations must choose a database that offers efficient storage and quick retrieval of vector data, especially for uses such as image recognition applications where ...

Text, images, and videos are all examples of unstructured data. Vector databases capture and store the essence of a particular piece of data that a machine-learning program or LLM can then pull from.

Unstructured data — including images, text, audio, and video — now accounts for over 90% of enterprise data. As organizations turn this data into vector embeddings, they run into major roadblocks: ...

Vast Data Inc. today announced enhancements to its Vast Data Platform, enabling it to support structured and unstructured data in a single DataSpace with linear and secure scaling.The enhancement ...

Vector databases, on the other hand, store and process data in the form of vector embeddings, which convert text, documents, images, and other data into numerical representations that capture the ...

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 ...

where the value of the images decays over time. Kulkarni said that he sees the blending of time series and vector data as an important trend, where organizations are looking to leverage the ...

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 ...

NEW YORK, April 30, 2025 /PRNewswire/ -- BigID, the leader in data security, privacy, compliance, and AI data management, announces an industry-first capability to label data within vector ...