Toolbox: Reference Architectures & Example Implementations

Curated, copyable AI architecture patterns and runnable examples for chat, RAG, classification, and forecasting to speed implementation and reduce rework.

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Reference

Reference Architectures & Example Implementations

A practical, copyable collection of reference architectures for common AI use cases (chat assistants, retrieval-augmented generation, classification pipelines, forecasting, and edge inference). Each pattern includes a concise architecture diagram (placeholder), component responsibilities, example tech stacks, runnable implementation notes, test cases, and a production-readiness checklist designed to shorten time-to-production.

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Reference Architectures — Chat, RAG, Classification, Forecasting (catalog)

Concrete, runnable reference architectures and recommended components for four common AI patterns: chat assistants, retrieval‑augmented generation (RAG), classification pipelines, and forecasting pipelines. Each pattern includes architecture components, low-friction implementation recipe, recommended technologies, monitoring and validation checkpoints, security considerations, and quick adaptation guidance so teams can copy, run, and tailor a working solution.

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