Chat-Based AI Assistant for Laboratory and Product Knowledge
Use Case Family
Business Domain
R&D
Processes
Knowledge Retrieval
Challenge
In their daily work, employees of a specialty chemicals company frequently need to access extensive expertise on products, formulations, tests, and material properties. Although this knowledge exists within the organization, it is distributed across different systems and documents. As a result, research efforts are time-consuming, delaying customer responses and preventing full utilization of existing expertise.
Solution
A chat-based AI assistant consolidates laboratory, product, and application knowledge into a centrally accessible knowledge base. Using Retrieval-Augmented Generation (RAG), relevant documents are searched contextually and summarized in natural language. The solution integrates existing data sources, applies access controls, and enables intuitive cross-location usage.
Source: Alexander Thamm GmbH
Benefits
- Faster and more reliable responses to technical customer inquiries
- Reduced research effort through centralized knowledge access
- Greater transparency of internal expertise and laboratory results
- Improved utilization of existing knowledge assets
Target Group
Potential Industries
Risk Classification (EU AI Act)
