Model Context Protocol (MCP) is an open standard allowing AI agents to securely connect to external tools and data sources ...
Vaquar Khan is a Senior Architect and GenAI & Agentic AI Solutions specialist at Web Services (AWS) with over 22 years of experience ...
Use a blob knowledge source to index and query Azure blob content in an agentic retrieval pipeline. Knowledge sources are created independently, referenced in a knowledge base, and used as grounding ...
This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. SPAIN - 2026/02/04: In this photo illustration, the french AI chatbot Mistral logo seen ...
If you run security at any reasonably complex organization, your validation stack probably looks something like this: a BAS tool in one corner. A pentest engagement, or maybe an automated pentesting ...
Resource count includes governance/ops resources (budget and autoscale), private networking artifacts (private endpoints + NICs + private DNS zones), and SQL master ...
What's the role of vector databases in the agentic AI world? That's a question that organizations have been coming to terms with in recent months. The narrative had real momentum. As large language ...
Agentic web browsers that leverage artificial intelligence (AI) capabilities to autonomously execute actions across multiple websites on behalf of a user could be trained and tricked into falling prey ...
The primary architectural advancement in Gemini Embedding 2 is its ability to map five distinct media types—Text, Image, Video, Audio, and PDF—into a single, high-dimensional vector space. This ...
As more organizations configure MCP servers to support agent-to-agent communication, upfront strategy, nonfunctional requirements, and security non-negotiables will guide safer deployments. One of the ...
The agentic AI market presents a massive growth opportunity for companies' artificial intelligence (AI) infrastructure and software platforms. Azure cloud, Foundry, and Fabric platforms position ...
Most enterprise RAG pipelines are optimized for one search behavior. They fail silently on the others. A model trained to synthesize cross-document reports handles constraint-driven entity search ...
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