A beginner-friendly explanation of how AI applications retrieve information before generating answers.
The basic workflow
A system receives a question, searches a document collection, passes relevant passages to a model, and generates an answer from that context.
Why retrieval helps
A source collection can contain internal manuals, documentation, or specialized material that may not be in model training.
Errors are still possible
Search can miss useful text; retrieved information can be stale; a model can misread evidence.
Validate citations
Connect claims to passages and test that the cited text supports what the answer says.
Start narrowly
Use a small collection and real test questions; evaluate retrieval, accuracy, latency, and cost before expanding.
Editorial note: This guide is for general educational purposes. Verify important claims with authoritative sources before publication or action.