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.
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.
Compare agentic retrieval and graph retrieval in a concrete implementation.
Comfortable with basic RAG, graph databases and running a template locally.
Last reviewed: May 18, 2026
Continue through the same learning path with the next curated companion videos.
18 minutesSee how approval gates can be implemented as explicit workflow checkpoints rather than informal manual review after something goes wrong.
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