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Building Multi-Agent Workflows on Databricks (mosaic AI Agent Framework)

Multi-agent workflows native to the Lakehouse — designed, built, evaluated, and deployed on the Mosaic AI Agent Framework with typed tools and an evaluation harness.

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When Agents Call Agents: Why the MCP Server Matters in Freight

Model Context Protocol lets external AI agents call FreightCortex tools natively. Here is why that matters — and what it unlocks for the freight intelligence stack.

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Hybrid Retrieval: Why Vector Alone Isn’t Enough

Vector search is excellent at semantic similarity and bad at named entities. BM25 is the opposite. Production-grade retrieval is hybrid — and the architecture decisions matter.

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Why Calibration Matters More Than Accuracy: an ECE 0.012 Story

Headline accuracy is a misleading metric for high-stakes decisions. Calibration is the real one. Here is what ECE 0.012 means and how we got there.

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Production-Grade RAG on the Lakehouse with Mosaic AI Vector Search

How to design, build, and evaluate a production RAG system on Databricks using Mosaic AI Vector Search, hybrid retrieval, and a real evaluation harness.

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