Notes
Notes on AI systems, retrieval, and the work that starts after the demo.
Notes on retrieval, evals, observability, and the engineering that starts once the demo is the easy part.
4 posts
22 min read
How to Build Legal Answering Systems That Can Be Trusted
A practical blueprint for legal QA, shaped in part by work around the Agentic RAG Legal Challenge: document identity, hybrid retrieval, structured answers, page-level grounding, telemetry, and evals.
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6 min read
Which Query Transformation Techniques Actually Help RAG?
HyDE, query rewrite, decomposition, step-back prompting, and fusion for RAG: which query transformation technique fixes which retrieval failure, and when the extra latency pays off.
+2
5 min read
Preventing Hallucinations in LLM Systems
How to reduce hallucinations in LLM systems with better retrieval, abstention, verification, evals, and guardrails.
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5 min read
Most RAG Failures Start in the Documents
Chunking, titles, metadata, parent-child structure, reranking, and corpus QA for RAG systems.
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