From first retrieval to evaluated agent

Stop reading in circles.
Build your RAG route.

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.

Your route

Make the complete journey yours.

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.

Set your coordinates

Three choices are enough to turn a large subject into a realistic sequence.

hours / week
We estimate calendar time from a fixed workload, never invented completion dates.
Evaluation route

A reliable agent,
from the ground up.

10estimated weeks
0 of 6 stages complete40 focused hours
The whole system

RAG is a pipeline before it is an agent.

Each stage adds one capability and one check. The goal is not more machinery. It is evidence that the machinery improves the answer.

Retrieve before you reason

Start with chunking, indexing, query design, and observable retrieval. Agency cannot rescue missing evidence.

Measure the evidence

Track recall, ranking quality, groundedness, and task success separately. One score hides where the system broke.

Give tools narrow contracts

Define inputs, outputs, failure states, and stopping rules before an agent can call a tool.

Keep a trace

A useful agent leaves enough state to replay why it searched, selected, retried, or stopped.

Earn complexity

Add routing, memory, and loops only after the simpler retrieval baseline has a measured limit.

What mastery means

From answer to evidence.

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.

Build a small labeled query set. Inspect misses by source, chunk boundary, vocabulary, and rank before changing the generator.
Require claim-level evidence, test abstention, and separate faithful use of context from fluent phrasing.
Compare the agent with a non-agentic baseline. Count tool calls, loops, latency, failures, and resolved tasks.
Persist traces, retrieved passages, tool inputs, decisions, and termination reasons so improvement starts from evidence.

Your first good agent starts with a smaller next step.

Generate the route, finish one deliverable, and keep the roadmap beside the code.

Build my Agentic RAG path
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