VCs are obsessed with vector databases. Here are seven AI startups in the space that have raised millions from investors. [Business Insider]
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Source: Business Insider
Business Insider has idenfied seven vector database startups that have been early winners. Vector databases don't get as much love as their flashier counterparts, large language models (LLMs). But the startups building them are still crucial to the current AI revolution, and investors are eager to back the next big thing — to the tune of hundreds of millions of dollars. 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. Without a vector database, which can efficiently catalog vast amounts of unstructured data by their actual content, LLMs would have to rely on a human-generated tag or label when parsing through documents and data. "You literally cannot use OpenAI on its own," explained Tim Tully, a partner at Menlo Ventures . "You have to have a vector database because something has to push context into the query to OpenAI. And w
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