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 ...

Tools like Semantic Kernel, TypeChat, and LangChain make it possible to build applications around generative AI technologies like Azure OpenAI. That’s because they allow you to put constraints around ...

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 ...

Want to create your own semantic search engine, but just don’t have the PhDs? Semantic search engine Hakia is opening up APIs to let anyone build their own semantic search application on top of its ...

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 ...

Overview RAG is transforming AI apps, and vector databases are the engine behind accurate, real-time responsesChoosing the ...

One year ago, OpenSearch went looking for independence – and found something much more valuable. Under vendor-neutral governance, the project has attracted over 3,300 contributors, hit a billion ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

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 ...