Building Production-Ready RAG Systems
Retrieval-augmented generation is easy to prototype and hard to productionize. Here's how we approach chunking, evaluation, and guardrails for reliable results.
Practical insights on AI, software engineering, cloud, and design — written by the practitioners doing the work.
Retrieval-augmented generation is easy to prototype and hard to productionize. Here's how we approach chunking, evaluation, and guardrails for reliable results.
A pragmatic look at the trade-offs behind our default web stack — and when we reach for something else.
Right-sizing, autoscaling, and spend visibility strategies that saved our clients up to 40% on their cloud bills.
When users interact with AI, transparency and control matter as much as accuracy. Here are the UX patterns we rely on.
You don't need a platform team to run models reliably. These lightweight practices go a long way.
Where to invest your testing effort for the highest return, and how to avoid slow, brittle test suites.
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