What RAG does well
RAG is strong for answering questions from documents, policies, procedures, reports, and project records when source evidence is available.
Document Q&A
Citation-backed answers
Semantic search
Drafting with sources
Knowledge Architecture
RAG vs Knowledge Graph
RAG retrieves source material for grounded answers, while knowledge graphs model entities, relationships, and structure that make retrieval more precise.
What graphs add
Knowledge graphs help model relationships between projects, people, documents, clients, assets, risks, and requirements.
Entity resolution
Relationship queries
Structured filters
Reusable context
How to choose
Start with the workflow. If answers depend on document evidence, begin with governed RAG. If answers depend on relationships, add graph structure.
Workflow fit
Source quality
Entity complexity
Maintenance capacity
Related reading
Continue through the connected solution pages, case studies, and planning references.
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