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 ...

First solution to combine dense, sparse, and image embeddings with vector search in one managed environment. Reduces latency, cuts network costs, and simplifies hybrid and multimodal search BERLIN & ...

Learn how to use vector databases for AI SEO and enhance your content strategy. Find the closest semantic similarity for your target query with efficient vector embeddings. A vector database is a ...

PostgreSQL with the pgvector extension allows tables to be used as storage for vectors, each of which is saved as a row. It also allows any number of metadata columns to be added. In an enterprise ...

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 the ...

Have you ever searched for something online, only to feel frustrated when the results didn’t quite match what you had in mind? Maybe you were looking for an image similar to one you had, or trying to ...

LONDON, ENGLAND - AUGUST 19: Workers clean the East-facing clock face of the Elizabeth Tower of the Houses of Parliament on August 19, 2014 in London, England. Workers are cleaning the four faces of ...