Artificial Intelligence

“MCP and A2A: The Architecture Behind Agentic AI” in bold white text on a soft violet and magenta gradient, with a small Schema Sauce logo mark in the corner.
Artificial Intelligence

MCP and A2A: The Architecture Behind Agentic AI

Understanding MCP and A2A is no longer optional. Whether you’re building multi-agent systems, secure enterprise workflows, or GenAI-enhanced developer tools, these standards will shape your architecture.

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Artificial Intelligence

What is Docling?

Docling converts PDFs, Word docs, and slides into clean Markdown or JSON for RAG pipelines. Now with Granite-Docling and MCP support.

“Architecting Microsoft Teams for M365 Copilot” in bold white text on a soft periwinkle and lilac gradient, with a small Schema Sauce logo mark in the corner.
Artificial Intelligence

Architecting Microsoft Teams for M365 Copilot

If you want M365 Copilot to work and Teams to boost real productivity, then it is time to step back and architect Teams the right way.

“What is MCP and Why Does it Matter?” in bold white text on a soft teal and aqua gradient, with a small Schema Sauce logo mark in the corner.
Artificial Intelligence

What is MCP and Why Does it Matter?

Model Context Protocol (MCP) is changing AI integrations forever. Learn how this open standard lets any LLM connect to tools, APIs, and data with ease.

“RAGENTIC: RAG-Enhanced Multi-Agent Architecture” in bold white text on a soft periwinkle and lilac gradient, with a small Schema Sauce logo mark in the corner.
Artificial Intelligence

RAGENTIC: RAG-Enhanced Multi-Agent Architecture

Agentic RAG in action. RAGENTIC splits work across specialized agents that retrieve context and execute tasks, built on the Microsoft Agent Framework.