CHAPTER 04 / 06 · GROUND
Make answers traceable.
LLM applications Applied AI Engineering
An LLM application is more useful when its answers can be checked against the information it was given.
Can the reader find the source behind an answer?
A question starts a search across a small fictional document set.
04 / THE PROCESS
From idea
to evidence.
Three connected moves explain the subject and the work that makes it reviewable.
A source-grounded assistant and test set.
- 01 / DOCUMENTS
Prepare the source set
Split a small invented corpus into passages that can be found and attributed.
WHAT YOU CAN SHOWSource inventory - 02 / RETRIEVE
Build the answer path
Retrieve relevant passages, form an answer and show where its claims came from.
WHAT YOU CAN SHOWSource linked response - 03 / ANSWER
Test the difficult cases
Include missing evidence, conflicting passages and questions beyond the source set.
WHAT YOU CAN SHOWEvaluation set and review
THE PRACTICE
Make the work
inspectable.
The example is a way to explore the idea. Real project evidence should include what was tried, what was observed and what remains uncertain.
KEEP IN VIEW
What the visual
doesn’t prove.
A citation is useful only when the linked passage supports the claim. The example does not make live model calls.
ROLE CONNECTIONS
These directions use ideas from this subject within the Applied AI Engineering learning path.