The biggest frustration with traditional knowledge bases is that customers must use the exact right words to find what they need. Semantic search eliminates this barrier by understanding the intent behind a query, not just its keywords. GuruSup's platform uses large language model embeddings to match customer questions to relevant knowledge — regardless of how the question is phrased. Explore our full guide on what semantic search is and how it works to understand the technology in depth.

• Vector embeddings map meaning, not just keywords, enabling conceptual matching
• Natural language queries work just as well as technical search terms
• Cross-language search enables multilingual knowledge bases without manual translation
• Contextual ranking surfaces the most relevant result for each user's specific situation
• Continuous reranking based on click-through and resolution data