performed: Summer 2026
In this project, we developed an AI-powered search that lets employees search large collections of product photos, data sheets and drawings in natural language, for example directly during a customer conversation.
Results
During indexing, an image AI automatically describes and categorizes each file. The search then combines semantic vector search with classic full-text search, so that even vague or bilingual queries are answered accurately.
Instead of a rigid search form, an AI agent decides on its own when and what to search for, and curates the displayed results to match the query. The application integrates seamlessly with the company's existing login system.
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