Free Lesson

Agentic RAG: Beyond Basic RAG

60 min

Nov 6, 2026 7:30 AM

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What you'll learn

Understand when basic RAG stops being enough

Learn why fixed retrieve-then-generate pipelines struggle with complex, multi-source, ambiguous, or multi-hop questions.

Design an Agentic RAG workflow

Learn how agents decide whether to retrieve, where to search, and which retrieval strategy to use.

Improve grounding and answer reliability

Use evidence validation, relevance checks, citations, confidence, and verification loops to reduce unsupported answers.

Understand Graph RAG and multi-hop retrieval

See how graph relationships aid vector search for connected entities & multiple reasoning steps.

Build a stronger RAG/agent career portfolio

Learn which Agentic RAG, evaluation, Graph RAG, and production skills help differentiate AI engineering candidates.

Why this topic matters

Basic RAG is no longer enough for many enterprise AI applications. Production systems must route queries, plan retrieval, combine multiple knowledge sources, verify evidence, and handle complex multi-hop questions reliably. These capabilities are also becoming important portfolio skills for Production AI, Agentic AI, RAG engineering, FDSE, and AI Solutions roles.