Current Pain Points:

• Knowledge workers spend up to 20% of their time searching for information
• Traditional keyword searches miss contextually relevant content
• Manual document indexing creates inconsistent categorization
• Updating knowledge bases requires technical database expertise
• Disconnected systems force staff to search across multiple platforms

The AI-Powered Solution:

This workflow uses vector embeddings to understand the semantic meaning of documents, enabling contextual search that understands what users are asking for, not just the exact words they use. The result is a knowledge management system that works the way humans think, not the way databases are structured.