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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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Multi-Agent OSINT with a Critic and a Referee

A swarm of agents producing summaries is not analysis. Adding a critic and a referee changes what the system is. Here is how Aquil’s OSINT architecture is structured.

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The Agent Factory: Planner, Executor, Critic, Referee

Most production agentic systems converge on the same architecture: a planner, an executor, a critic, and a referee. Here is the pattern, why it works, and how we apply it across industries.

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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 Consensus for Systematic Literature Review

Single-LLM screening makes the SLR process faster but no more accurate. Multi-agent consensus screening — with four models, explanations, and disagreement detection — preserves PRISMA 2020 rigor.

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