Semantic search is the future of advertising on Google. In fact, Google continues to change its algorithm in line with how we are searching and how it understands search user intent. In 2017, Google ...

Natural language processing (NLP) and natural language understanding (NLU) are two often-confused technologies that make search more intelligent and ensure people can search and find what they want.

This post is the third and final of a multi-part series about the future of marketing and the role that semantic, context and intent will have on how we experience the internet. It’s becoming eerily ...

“E-A-T – expertise, authoritativeness, and trustworthiness – has become a buzzword,” said Dr. Marie Haynes, CEO of Marie Haynes Consulting Inc., in her presentation at SMX Advanced. “E-A-T is Google’s ...

Search isn’t just about matching keywords – and that’s even more true when we talk about semantic search. Semantic search is about finding the right information for the searcher at the right time.

On the surface, it looks like new generative AI models are getting better at understanding us and the world. But this glosses over the risks and opportunities. The term Semantic Search makes it easier ...

Legal services are built on knowledge, but firms today work with overwhelming volumes of contracts, precedents, case law and internal records. Being able to accurately and quickly search for ...

Ask.com today introduced a new version of its search engine that is both a return to the company's semantic roots and a move to become more of a one-stop shop for not just search results, but the ...

Modern semantic search does not have to require a separate vector database. Data architects, database engineers, developers, or platform leaders can integrate Vertex AI and Cloud SQL vector indexes ...