Embeddings
Embeddings are numerical representations of text that capture meaning and similarity. They allow the AI to understand relationships between concepts (e.g., "Paris" and "France" are close in vector space). Embeddings are key to search, recommendation, and RAG systems.
Want the full picture? This term comes from GenAI for Business, a complete free book on generative AI strategy and implementation by Prof. Shubin Yu (HEC Paris).