Case study · Applied AI · 2026
A RAG knowledge workspace designed to answer with sources—or abstain.
01 / Problem
A useful document assistant needs to retrieve the right context, show where an answer came from, and avoid sounding certain when the documents do not support a response.
02 / Decisions
Uploads enter an asynchronous pipeline with retries and rollback so parsing and embedding work do not block the user-facing response.
Retrieved chunks stay connected to their source metadata, enabling answers to expose citations instead of returning untraceable prose.
The answer flow includes a supported-answer check so weak context can produce an honest ‘I don’t know’ instead of a confident guess.
03 / Flow
04 / Reflection
The important part was not adding a chat box. It was deciding where uncertainty, isolation, and failure should be visible in the system.
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