Understanding Embeddings
Explore how embeddings convert text into numerical vectors to enable machines to process language for applications like semantic search, clustering, recommendations, and anomaly detection. Understand retrieval-augmented generation (RAG) and how embeddings improve AI accuracy and relevance by linking queries to external knowledge.
Embeddings can be thought of as a mathematical mechanism that translates words into numbers. These numbers are representative of the words' meanings, thereby simplifying the process for machines to understand and process human language. ...