A vector database becomes essential when handling unstructured data requiring complex algorithmic work, such as high-dimensional data, similarity searches, real-time AI applications, or when ...

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.

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.

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 ...

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: ...

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 databases and search aren’t new, ... We built software to scan electrophoresis samples into a database, and my job was to convert each DNA pattern’s image into representable data.

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 ...

Startup Zilliz Inc., best known as the creator of the Milvus vector database, announced today it has raised $60 million through an extension to its earlier $43 million Series B round of funding.Pr ...

Timescale is looking to further advance its namesake open-source database platform with new AI capabilities announced today.. Timescale was founded in 2017 as a time series database (TSDB ...