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alexandergenser
Databricks Employee
Databricks Employee
since ‎02-28-2025
a week ago

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  • 3 Posts
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Introduction In our previous blog, we explored how enterprises can connect multiple tools and data sources to build a travel-planning AI agent using the Model Context Protocol (MCP). However, as organizations scale their agentic footprint, they face ...
Building agents with the Model Context Protocol on Databricks In the past year, AI applications and their capabilities have advanced significantly from LLM prompting to retrieval-augmented generation (RAG), to the point where we started developing ag...
What is an AI agent and why build an agent?  Advanced AI systems go beyond simple question-answering—they can interact with live data, call tools dynamically, and adapt to real-world complexities. In transportation, real-time scheduling is a perfect ...