Retrieve before you reason
Start with chunking, indexing, query design, and observable retrieval. Agency cannot rescue missing evidence.
Choose where you are, what you need to ship, and the hours you actually have. Get a sequenced Agentic RAG curriculum you can finish, track, and take with you.
The path changes with your starting point and intended outcome. Every route includes a working capstone and a way to test whether it deserves trust.
Each stage adds one capability and one check. The goal is not more machinery. It is evidence that the machinery improves the answer.
Start with chunking, indexing, query design, and observable retrieval. Agency cannot rescue missing evidence.
Track recall, ranking quality, groundedness, and task success separately. One score hides where the system broke.
Define inputs, outputs, failure states, and stopping rules before an agent can call a tool.
A useful agent leaves enough state to replay why it searched, selected, retried, or stopped.
Add routing, memory, and loops only after the simpler retrieval baseline has a measured limit.
A polished response is not the finish line. A complete Agentic RAG practice can explain what it retrieved, why the agent acted, and how the result was tested.
Generate the route, finish one deliverable, and keep the roadmap beside the code.
Build my Agentic RAG path