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 ...

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 ...

Overview RAG is transforming AI apps, and vector databases are the engine behind accurate, real-time responsesChoosing the right vector database can make or bre ...

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 ...

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, ...

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 ...

Today's enterprises need unified semantic layers that seamlessly connect traditional BI, GenBI applications, and emerging AI workloads. As organizations face challenges in making enterprise data truly ...

For years, “search” at enterprises has meant the same ritual: An analyst guesses keywords, combines them with AND/OR/NOT, adds a few filters (e.g., date, custodian and file type), runs the query, ...