AI-based field technician support tool
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About
An LLM-based (RAG) system for assisting field technicians with integrated device instructions and manuals and a ticketing system. Read more
CASE STUDY DETAILS
Under MNDA
Enterprise/Corporation
Undisclosed, Switzerland
Project work
1 - 5 people
Ongoing
Between €200k-€250k
Agile
FOCUS AREA
Challenge, approach, and impact
Multiple data sources
To fully utilize RAG architecture, we have to integrate a dynamic database that will be embedded to enable LLM-based search
UX Design
Design of an ergonomic, web-based UI for querying the engine and displaying results
System design
Rich prompt engineering is necessary to make the conversational agent helpful, especially considering edge cases and possible hallucinations.
Testimonials
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Team Structure
Client Team
Daily point of contact
Head of Competence Center Service
Cuau C
Agency Team
Production
1 x CTO
Production
1 x AI Expert
Production
1 x Senior Fullstack Engineer
Production
1 x UX Designer