“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 ...

To create a vector graphic, you need a special program that vectorizes image data. This means that the program converts the image information into lines and curves, which can then be scaled ...

New solutions eliminate friction, enabling effortless portability of unstructured data and embeddings across ... consolidate across multiple vector stores, or move to Zilliz Cloud with zero ...

Built-in security now offers advanced row- and column-level permissions for compliance and governance purposes with unified permissions for raw data and vector representations. The parallel ...

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 are all the rage, judging by the number of startups entering the space and the investors ponying up for a piece of the pie. The proliferation of large language models (LLMs) and ...

Generative AI is revolutionizing data and analytics, but its applications demand advanced data management capabilities to handle vast, diverse, and complex datasets that include images, video ...

So the data of an image can be vectorized as an array of numbers, or an AI-generated representation of that image. Then, a vector search can be performed on a vector database that stores such ...

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 ...

With the vector model, Adobe is notably launching its first text-to-vector AI image generator ... applying content moderation to the training data set. The company has also introduced features ...