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  • RAG evaluation: fix retrieval before you blame the model

    Most RAG failures are retrieval failures. A practical playbook for retrieval evaluation: golden sets, recall@k, chunking tests and drift monitoring.

    Scalable AI architecture · 1 October 2026 · 7 min read

  • Embedding model migration: re-indexing 10M+ vectors without downtime

    A better embedding model is only an upgrade if you can install it. The sizing, dual-write and cutover plan for re-indexing 10M+ vectors with no downtime.

    Scalable AI architecture · 1 October 2026 · 9 min read

  • Layered validation for agent outputs: what each layer can actually prove

    Most agents have one validator and it passes well-formed nonsense. The four validation layers, what each can prove, and how to test guardrails in CI.

    Agentic AI in production · 1 October 2026 · 10 min read

  • Agent evaluation: building a regression harness for non-deterministic systems

    Agent evaluation breaks when a flaky score reads as a regression. Mine a golden set from real traces, measure the noise floor, gate on the right thing.

    Agentic AI in production · 1 October 2026 · 10 min read

  • Redis sharding strategy: when a single node stops being the answer

    Most Redis sharding goes wrong before the first shard exists. Diagnose the real ceiling, design keys around hash slots, and reshard without a p99 spike.

    Scalable AI architecture · 1 October 2026 · 10 min read

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