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Building A Generative AI Platform

huyenchip.com
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Category
Other
Type
ARTICLE
Builder
@chipro
Added
Jul 20, 2026

About

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. This is a pretty complex system. This post will start from the simplest architecture and progressively add more components. In its simpl

What it can do

  • Send user query to a generative model and return a response

    User query textModel-generated response

  • Enhance model context by retrieving external data sources

    User query and connected data sources/documentsAugmented context-enriched response

  • Integrate tools for information gathering to augment model input

    Query requiring external tool accessResponse informed by tool/tool-fetched data

  • Apply guardrails to filter and protect inputs and outputs

    User query and model outputValidated/sanitized query and safe response

  • Route queries across multiple models via a model router and gateway

    Incoming query and routing rulesQuery dispatched to the appropriate model with unified access

  • Cache responses to optimize latency and cost

    Query and prior response dataCached or freshly computed response with reduced cost/latency

  • Execute write actions and complex agentic logic

    Query requiring multi-step actions or external writesCompleted actions and aggregated results

  • Monitor and orchestrate the pipeline for observability and debugging

    System telemetry and component chain configurationMonitoring insights and coordinated end-to-end execution

Why it made the leaderboard

A clear, incrementally-built reference architecture for production genAI systems — showing when and why to add RAG, guardrails, model gateways, caching, and orchestration — so you can reason about your own stack instead of copying a diagram blindly.

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Indexed by a proprietary survey. Corrections welcome.