Embeddings

Transforms texts into fixed-size vectors that capture their semantic meanings in a high-dimensional space

AI21 Studio’s Embeddings model provides dense vector representations of submitted text. The model takes a segment of text and returns a vector representation produced by our model.

Embedding vectors encode semantic information about the given text. This can be used as a basis for various use cases including RAG (retrieval augmented generation), semantic search, clustering, and classification.

Links