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Building A Generative AI Platform

Named practitioner synthesis

#192

T3digested
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Practitioner Notes
First seen
2026-07-16 19:08:00
Last seen
2026-07-16 19:08:00

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  • Blog / Newsletter2026-07-16 19:07:19
    Building A Generative AI Platform

    <p>After studying how companies deploy generative AI applications, I noticed many similarities in their platforms. This post outlines the common components of a generative AI platform, what they do, and how they are implemented. I try my best to keep the architecture general, but certain applications might deviate. This is what the overall architecture looks like.</p> <center> <figure> <img alt="Overview of a genai platform" src="https://huyenchip.com/assets/pics/genai-platform/1-genai-platform.png" style="float: center; margin: 0 0 0em 0em;" /> </figure> </center> <p><br /> This is a pretty complex system. This post will start from the simplest architecture and progressively add more components. In its simplest form, your application receives a query and sends it to the model. The model generates a response, which is returned to the user. There are no guardrails, no augmented context, and no optimization. The <strong>Model API</strong> box refers to both third-party APIs