Generates a text embedding vector from the input Content using the specified Gemini Embedding model.

Generates an embedding from the model given input content. The embedding is a vector representation of the input text that captures semantic meaning. Embeddings can be used for semantic search, text classification, clustering, and retrieval tasks. Only the text parts of the input content are used for embedding generation.