Semantic Search & Content Enrichment
Design and implementation of embedding-based semantic search systems combined with AI-driven content enrichment for product catalogs and enterprise databases.
- Intent- and meaning-based search instead of pure keyword matching
- Automatic AI-driven content enrichment (categories, use cases, themes)
- Support for reference lookup, similarity search and natural language queries