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Retrieval in plain language

The assistant needs the right information before it answers.

Retrieval means finding relevant source material for a question. An AI application can use that material when drafting its answer; this is often called retrieval-augmented generation, or RAG.

Faith Forge Labs ยท Reviewed October 16, 2026

Prepare the approved information

The application needs usable text and labels that connect it to a source, version and access rule. Document changes or removal need a corresponding update process.

Find material within the user's permissions

The question is used to select relevant information. The search must also respect what the user is allowed to access, rather than leaving that decision to the generated answer.

Draft and check the answer

The model receives the selected material with the task instructions. The interface should let a person inspect the source and identify unsupported or incomplete claims. Finding a related passage does not guarantee the final wording is correct.

Treat retrieved content as information, not permission

Documents or messages can contain text that tries to redirect an AI's behavior. Limit connected actions independently, validate inputs and use appropriate approval steps. These measures reduce risk rather than eliminate it. OpenAI's agent safety guidance describes this prompt-injection risk and the value of layered controls.

Evaluate the whole path

Check relevant selection, supported answers, source links, access restrictions and a useful response when information is absent. Repeat the agreed checks when the model, source collection or retrieval configuration changes.

Use the pilot checklist.