ModelRefs / Workflow Implementation Guides
Workflow Implementation Guides
Plan and implement AI workflows such as RAG, agents, fine-tuning, and evaluation.
Overview
This section holds 1 decision guide, each with a step-by-step framework, the trade-offs it forces, and the sources behind it.
Workflow Implementation Guides
Plan and implement AI workflows such as RAG, agents, fine-tuning, and evaluation.
How to design an Enterprise RAG workflow
A vendor-neutral implementation path for enterprise retrieval-augmented generation covering data, retrieval, generation, evaluation, monitoring, and governance.
Level: advanced · About 13 to read
Other decision-guide sections
- Model Selection Guides — Choose models by use case, capability, constraints, and implementation trade-offs.
- Provider Selection Guides — Compare provider options, deployment paths, APIs, pricing factors, and operational constraints.
- Benchmark Interpretation Guides — Understand benchmark results, limitations, evaluation context, and practical relevance.
- AI Architecture Guides — Design AI systems, integration patterns, data flows, and deployment architectures.
- Governance Guides — Apply governance, risk, review, and monitoring practices to AI implementation decisions.
Continue your research
Use these connected ModelRefs sections to compare alternatives, inspect implementation paths, and review the evidence and governance boundaries relevant to Workflow Implementation Guides.