Converting Meaning to Mathematics

AWS Bedrock Embeddings integration works by:

1. Text Processing: Content is sent to AWS Bedrock foundation models
2. Vector Generation: The model converts text into high-dimensional vectors that capture semantic meaning
3. Integration: n8n workflows can use these vectors for comparison, analysis, and decision making

You can choose from multiple foundation models including Claude, Titan, and other leading AI models. These embeddings provide a mathematical representation where semantically similar content has similar vector representations - allowing machines to "understand" relationships between concepts and identify similar content regardless of exact wording.