gemini-embedding-001

GoogleToken-based

Google 的向量模型，用于将输入内容转换为数值向量，支持语义检索和相似度计算。

textembeddingscontext:2048

API access

RequestPOST/v1beta/models/gemini-embedding-001:generateContent

Example request

Parameters

Parameter	Type	Default / range	Description
`input`required	string	—	Text or array of texts to embed
`dimensions`	integer	>= 1	Truncate embeddings to this many dimensions
`encoding_format`	enum	=`float`	Wire encoding for the embedding vectors
`user`	string	—	End-user identifier for abuse monitoring

Replace <YOUR_API_KEY> with the API key from your token settings.

All requests must include Authorization: Bearer <TOKEN> header. Anthropic-formatted endpoints accept the x-api-key header instead.

Generate tokens from the Tokens page; you can scope them to specific models, groups, IPs, and rate-limits.

Generation parameters

Parameter	Type	Default / range	Description
`input`required	string	—	Text or array of texts to embed
`dimensions`	integer	>= 1	Truncate embeddings to this many dimensions
`encoding_format`	enum	=`float`	Wire encoding for the embedding vectors
`user`	string	—	End-user identifier for abuse monitoring

Supplier	RPM	TPM	RPD
Google AI Studio	3.4K	685K	69K
Google Vertex	3.9K	772K	77K

RPM = requests per minute, TPM = tokens per minute, RPD = requests per day. Limits apply per token group.