Text Embeddings

POST

/v1beta/models/gemini-embedding-001:embedContent

• Convert text to vector embeddings for semantic search, clustering, recommendations, and more
• Required: text in content.parts
• Optional: output_dimensionality for dimensionality reduction, taskType for task type
• Official docs: Embeddings

Authorizations

bearer

Type

HTTP (bearer)

Request Body

application/json

object

object

Required

Content to embed

Optional output dimensionality reduction

Optional task type for the embedding (e.g. SEMANTIC_SIMILARITY)