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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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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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A Retrieval Engine over the World’s Aviation Safety Corpus

247,000 public-domain aviation safety reports — indexed with hybrid retrieval, re-ranking, and citation-grounded generation. Here is what we learned designing it for production.

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Living Systematic Reviews: Evidence That Stays Current

A traditional systematic review is a snapshot, frozen at the search date. A living review is a stream, refreshed as new evidence appears. Here is the architecture that makes living reviews operationally feasible.

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Multi-Agent Quality: a New Architecture for the QMS

Traditional QMS systems are forms-and-rules engines. A multi-agent QMS is something different — and the difference matters operationally.

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