The Problem: Text is Everywhere, But Understanding It is Hard

Businesses face significant challenges when dealing with text data:

• Unable to automatically extract meaning from customer communications
• Difficulty finding relevant information across large document collections
• Limited ability to match similar content based on meaning rather than keywords
• Expensive and time-consuming manual tagging and categorization
• Keyword searches miss context and semantic relationships

OpenAI Embeddings solves these problems by transforming text into vector representations that capture meaning and context, enabling computers to understand relationships between words, phrases, and documents. This foundation powers sophisticated text-based applications that were previously out of reach for most organizations without specialized AI expertise.