AGD Flow
RAG Content Workflows
AGD Flow can collect source material and prepare RAG context before AI writing or review steps run.
Source material first
A workflow can collect search results, exact URLs and source pages before writing. The model receives context from the workflow, not only a blank prompt.
RAG supports review
RAG improves grounding, but it does not remove the need for review on sensitive or high-value topics. AGD Flow keeps that review step visible.
Useful for SEO and affiliate content
RAG workflows are useful when articles, comparisons or product reviews need source context before drafting.
FAQ
- Does AGD Flow use RAG for SEO content? Yes. A pipeline can build RAG context from collected sources before generation.
- Does RAG remove factual errors? No. RAG gives the model source context, but review is still useful where accuracy matters.
Next
Read the AGD Flow documentation, articles and comparison page to build the first working pipeline.