In Depth
Embeddings are generated by passing data through a neural network encoder and extracting an intermediate layer output. They are the bridge between raw data and downstream AI tasks: search, clustering, recommendation, and anomaly detection all operate on embeddings. Models like text-embedding-3 (OpenAI) and Gecko (Google) are purpose-built for producing high-quality text embeddings.