Case Study: RAG achieves faster, smarter enterprise search with amberSearch

How expert knowledge can be democratized in the company based on the example of RAG

RAG, a German post-mining company, faced the immense challenge of making expert knowledge from 150 years of coal mining accessible. This information was locked away in millions of documents across various data silos and file formats, a problem exacerbated by a shrinking workforce and a continuously growing legacy data archive. They turned to the startup amberSearch to implement an AI-powered search solution to efficiently unlock this valuable knowledge for their employees.

The solution from amberSearch involved developing and training an AI-powered search engine, built during the joint KISS42 project, to understand complex, mining-specific language and search across disparate data sources. The implementation led to dramatically faster search results and high user satisfaction, with employees amazed at the speed and efficiency. This streamlined business processes, preserved critical expert knowledge that would otherwise be lost, and provided a measurable economic benefit by drastically reducing the time employees spent searching for information.

RAG

Peter Vosen

Geodata Expert