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Phase 6
Specialized RAG Architectures
What to reach for once naive vector RAG hits an accuracy ceiling — graph-based retrieval, agentic and knowledge-augmented generation, and how to evaluate and choose between them.
1
GraphRAG: Retrieval Over Relationships, Not Just Chunks
Why a fast, well-tuned vector index still fails on questions that span multiple documents, and how building a knowledge graph fixes it.
graphragknowledge-graphsrag
2
Agentic RAG & KAG
When the fix isn't a better index but letting the model decide what to retrieve next — and the more structured alternative for high-precision domains.
agentic-ragkagretrieval
3
RAG Evaluation, Debugging & Architecture Selection
How to measure whether a RAG pipeline is actually working, find which stage is failing when it isn't, and pick the right architecture instead of guessing.
rag-evaluationragasdebugging