Build Your First Document Q&A Prototype Before Adding Complexity
A document question-answering prototype needs a clear evidence path: find a relevant passage, provide it to a model and show where the answer came from. Start with a handful of approved documents. This makes retrieval mistakes visible before they are buried inside a larger application.
Why it matters
The answer quality depends on the documents and the search step as well as the model. Test retrieval separately so that an irrelevant passage does not look like a generation problem.
A practical workflow
- Choose a small, non-sensitive document set with stable titles, dates and clearly defined access permissions.
- Split documents along meaningful sections and preserve the source identity and location with each chunk.
- Test whether real questions retrieve the supporting passage before asking the model to write an answer.
- Require an unsupported-answer response when evidence is missing, and display citations users can inspect.
An example
A club handbook assistant should find the room-booking section for a booking question. If no section explains weekend access, the answer should say that the handbook does not establish it. Guessing from a nearby weekday rule defeats the purpose of grounded answers.
A mistake to avoid
Do not let retrieval bypass document permissions. A relevant passage is still inappropriate if the requesting user is not allowed to see it. Remove outdated documents or label versions clearly during indexing.
Try it and check the result
Prepare questions with known answers, missing answers and conflicting versions. Record the retrieved passages and final responses separately so you can fix the stage that actually caused each failure.
Reference and further reading
Google's introduction to embeddings.
The workflows and examples in this guide are illustrative. Product controls and availability can change; check the linked official guidance for your setup.
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