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Introducing RAG 2.0: Agentic RAG + Knowledge Graphs (FREE Template) — AI Expert OÜ

Introducing RAG 2.0: Agentic RAG + Knowledge Graphs (FREE Template)

39 minutesAdvancedAI for BusinessUseful with contextModel details may have changedReviewed May 18, 2026

Cole Medin. A working agentic-RAG-plus-knowledge-graph build, with the agent deciding when to do vector search, when to hit Neo4j, and when to do both. It's the cleanest demonstration on YouTube of the "agent as the retrieval planner" pattern the article describes, in code you can actually pull down and run.

AI Expert note

Treat template dependencies, model choices and orchestration code as version-sensitive. The useful idea is retrieval planning; production use still needs permissions, evals and failure handling.

What you should get from this

Compare agentic retrieval and graph retrieval in a concrete implementation.

Watch or know first

Comfortable with basic RAG, graph databases and running a template locally.

Practical next step

Watch with the companion article open, then write down one workflow or decision this changes for your own work.

Watch next

Continue through the same learning path with the next curated companion videos.

Further reading

Classic chunk-based RAG has limits. Graph RAG, agentic RAG, and long-context RAG each break those limits in different ways. When each is the right tool, how they actually work, and the production trade-offs that matter.

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