In the realm of natural language processing (NLP), the concept of embeddings plays a pivotal role. It is a technique that converts words, sentences, or even entire documents into numerical vectors.

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 ...

A new SQL Server 2025 feature lets organizations run vector-based semantic searches on their own data, connecting to local or cloud-hosted AI models without relying on massive general-purpose LLMs. I ...

Learn how to identify keyword cannibalization using OpenAI's text embeddings. Understand the differences between various models and make informed SEO decisions. This new series of articles focuses on ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. For years, “search” at enterprises has meant the same ritual: An analyst guesses keywords, ...

Microsoft has introduced a spectrum of new tools to make it easier to customize and focus the output of GPT-based AI models. Cosmos DB plays an important role. Microsoft CEO Satya Nadella described ...

Search is more than just a tool; it's the door to the world of exploration, knowledge and decision making. Over the last several years, search has evolved from the early systems that only matched the ...