All that data diversity makes up the variety vector of big data. It would take a library of books to describe all the various methods that big data practitioners use to process the three Vs.

Some vendors have big data product portfolios that span ... Graph database technology, working with vector search and data science, can improve GenAI applications with more accurate responses ...

As part of the Big Data 100, CRN has compiled a ... the demand for vector databases that index and store “vector embeddings” for rapid data retrieval and similarity searches.

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 ...

As the output from the training part of the machine learning process, vector embeddings are the distilled representations of the training data. They essentially are the filter through which new data ...

announces an industry-first capability to label data within vector databases, setting a new standard for AI security and access controls. This latest innovation extends BigID's industry-leading ...