One of the biggest issues with large language models (LLMs) is working with your own data. They may have been trained on terabytes of text from across the internet, but that only provides them with a ...

BOSTON--(BUSINESS WIRE)--AtScale, the leader in enterprise semantic layer technology, today announced its integration with the Databricks MCP Marketplace. This partnership enables organizations to ...

Microsoft Corp. believes we’re headed toward a future where artificial intelligence-powered agents will become pervasive in enterprise computing environments, so today it’s making it easier for those ...

Setting up a memory database integrated with an MCP (Model Context Protocol) server can significantly enhance how you manage and retrieve data. By using OpenAI’s file store and vector database ...

Many organizations are building generative AI services to power use cases ranging from customized chatbots to business automation agents. But with numerous development frameworks available, deciding ...

What happens when innovative AI agents meet the challenge of connecting to real-world tools and data? The answer lies in the protocols that bridge the gap between static training models and dynamic, ...

Microsoft rolls out Model Context Protocol support in Windows ML, providing tools to build agentic Windows applications that work with local and remote resources securely. One concern many users have ...

Model Context Protocol (MCP) is a genuinely important standard, a connection layer that gives AI systems structured access to external tools and data sources at scale. But connection and readiness ...

Since recently introducing the open source Semantic Kernel to help developers use AI large language models (LLMs) in their apps, Microsoft has been busy improving it, publishing new guidance on how to ...

Microsoft says Agent Framework 1.0 is the production-ready release, with stable APIs and long-term support for both .NET and Python. The framework is presented as a unified successor path that builds ...