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 ...

Qdrant develops a vector search engine designed for production AI systems, enabling teams to configure retrieval, ranking, and filtering to support scalable applications such as semantic search and AI ...

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 ...

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 ...

Semantic layers stand out as a key approach to solving business problems for organizations grappling with the complexities of managing and understanding the meaning of their data. A semantic layer, ...

Microsoft used Ignite 2025 to push Azure Cosmos DB further into AI search and agentic workflows, highlighting new capabilities aimed at developers building retrieval-heavy applications and multi-agent ...

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 ...

If you want to improve the way Windows Search works on your computer, we recommend you use Semantic Search. It is a new feature introduced in Windows 11, allowing Windows to leverage AI to search ...