Case Study - Chatbot for Dialogue with Technical Manuals
In this project, we acted as an external party and developed an AI-driven chatbot as a Proof of Concept, specifically designed to facilitate service technicians' access to extensive technical manuals. By using Retrieval-Augmented Generation (RAG) technology, we succeeded in optimizing the search process in manuals that spanned thousands of pages.
- Client
- Machinery manufacturer (anonymized)
- Service
- Machine Learning & AI
Challenge
As a partner to a provider of technical information, we took on the challenge of building an AI chatbot for a major player in the machinery manufacturing industry. The goal was to enable fast and efficient information retrieval in extensive technical manuals for service technicians.
Project setup
The scope of the project was limited to a couple of service manuals. This laid the groundwork for a smooth and focused project, where we could concentrate on quality and user-friendliness and prove the solution's usability on a, to begin with, small scale.
Solution
Our solution was based on RAG technology (Retrieval-Augmented Generation), which combines a search engine with an AI chatbot. By breaking down the manual's content into smaller segments and indexing these in a vector database, we were able to create an effective method for finding and presenting relevant information.
Outcome
Our work resulted in a functional chatbot that could handle specific requests from an extensive manual. In the pilot, we saw clear effects for service technicians and support teams:
- Response time for common manual questions dropped from minutes to seconds.
- First-line support could resolve more cases directly without escalation.
- Service technicians reached the right manual sections faster, reducing downtime during troubleshooting.
Learnings
The greatest insight from this project was the importance of high-quality data. The success of an AI-driven solution heavily relies on the quality of the underlying data. Close collaboration with the client is crucial to ensure access to and processing of relevant data.
This project proves our ability to deliver innovative and practical AI solutions. Our customized chatbot technology has the potential to revolutionize information management and support technical processes in large-scale industrial environments.
Getting the chance to work with such new 'cutting-edge' technology was fantastic. We are very pleased with the outcome and look forward to continuing to develop the solution.
Head of Machine Learning
Tags
- Machine Learning
- AI
- Large Language Models
- Data Processing
- Chatbot
- Vector Database
Next steps
Want to use RAG/LLMs to make manuals and knowledge searchable in your organization? Contact us and we’ll set up an intro call.