As developers look to harness the power of AI in their applications, one of the most exciting advancements is the ability to enrich existing databases with semantic understanding through vector search ...

The rise of artificial intelligence (AI) and its integration into search engines is reshaping how businesses and consumers interact with digital platforms. This article will share specific steps to ...

Progress Software Announces General Availability of MarkLogic Server 12 Progress’ semantic and graph RAG approach—featuring MarkLogic Server 12—delivers 33% higher LLM accuracy and faster discovery ...

A new research paper from Google DeepMind proposes a new AI search ranking algorithm called BlockRank that works so well it puts advanced semantic search ranking within reach of individuals and ...

For simple user queries, a search engine can reliably find the correct content using keyword matching alone. A “red toaster” query pulls up all of the products with “toaster” in the title or ...

Natural language processing opened the door for semantic search on Google. SEOs need to understand the switch to entity-based search because this is the future of Google search. In this article, we’ll ...

MongoDB, Inc. announced the integration of search and vector search capabilities with MongoDB Community Edition and MongoDB Enterprise Server. This announcement was made at its developer conference ...