RAG Manuals Tech Support
Retrieval-Augmented Generation Over Equipment Documentation
Built and delivered
UNIS Tech Support
RAG over 150+ game manuals โ ask anything about UNIS arcade equipment
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The Problem
Tech support staff spent significant time digging through arcade equipment manuals for every ticket. Generic PDF search finds keywords but can't answer questions. Manuals vary wildly in format โ tables, flowcharts, buried paragraphs.
The Solution
A custom RAG web app over the full library of equipment manuals. User picks the specific game, asks a natural-language question, and gets three coordinated outputs: a synthesized answer, a PNG snapshot of the actual manual page, and a link to the public manufacturer manual.
Key Features
- Per-game metadata-scoped retrieval (collapses search to one machine's docs)
- Layout-aware PDF ingestion (preserves tables, diagrams, multi-column)
- Visual-proof responses: answer + page PNG + public manual link
- Source-grounded answers techs can verify with one click
Tech Stack
Outcome
Technically sound system with the trust-building visual-proof pattern. Key lesson: the page PNG snapshot is what makes it trustable by field techs โ they don't trust answers they can't verify.