> ## Documentation Index
> Fetch the complete documentation index at: https://evo-0136956d.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Gemini 嵌入(Embeddings)

> 使用指定引擎/模型创建嵌入



## OpenAPI

````yaml /zh/openapi/relay-api.mintlify.json post /v1/engines/{model}/embeddings
openapi: 3.0.1
info:
  title: AI 调用接口
  description: 统一的 AI 模型调用接口，支持 OpenAI、Claude、Gemini、Kling、即梦等多种格式
  version: 1.0.0
servers:
  - url: https://api.nusabase.com
    description: API Base URL
security:
  - BearerAuth: []
tags:
  - name: Models
    description: 获取可用模型列表（支持 OpenAI / Gemini / Anthropic 格式）
  - name: Chat
    description: 对话补全与文本补全（OpenAI Chat Completions 兼容）
  - name: Responses
    description: OpenAI Responses API（支持工具调用、推理、多轮对话）
  - name: Realtime
    description: WebSocket 实时对话（OpenAI Realtime API 兼容）
  - name: Claude
    description: Anthropic Claude Messages API 兼容格式
  - name: Gemini
    description: Google Gemini API 兼容格式
  - name: Images
    description: 图片生成与编辑
  - name: Video
    description: 视频生成（OpenAI Sora 兼容格式 + 通用格式）
  - name: Video / Kling
    description: Kling 视频生成（文生视频 / 图生视频）
  - name: Video / Jimeng
    description: 即梦（Jimeng）视频生成
  - name: Audio
    description: 语音转文字 / 语音翻译 / 文字转语音
  - name: Embeddings
    description: 文本向量嵌入
  - name: Rerank
    description: 文档相关性重排序
  - name: Moderations
    description: 内容安全审核
  - name: Not Implemented
    description: 暂未实现的接口（保留兼容性占位）
paths:
  /v1/engines/{model}/embeddings:
    post:
      tags:
        - Gemini
      summary: Gemini 嵌入(Embeddings)
      description: 使用指定引擎/模型创建嵌入
      operationId: createEngineEmbedding
      parameters:
        - name: model
          in: path
          description: 模型/引擎 ID
          required: true
          example: ''
          schema:
            type: string
      requestBody:
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/EmbeddingRequest'
            examples: {}
      responses:
        '200':
          description: 成功创建嵌入
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/EmbeddingResponse'
          headers: {}
      deprecated: false
      security:
        - BearerAuth: []
components:
  schemas:
    EmbeddingRequest:
      type: object
      required:
        - model
        - input
      properties:
        model:
          type: string
          example: text-embedding-ada-002
        input:
          oneOf:
            - type: string
            - type: array
              items:
                type: string
          description: 要嵌入的文本
        encoding_format:
          type: string
          enum:
            - float
            - base64
          default: float
        dimensions:
          type: integer
          description: 输出向量维度
        user:
          type: string
          description: 用户标识
    EmbeddingResponse:
      type: object
      properties:
        object:
          type: string
          example: list
        data:
          type: array
          items:
            type: object
            properties:
              object:
                type: string
                example: embedding
              index:
                type: integer
              embedding:
                type: array
                items:
                  type: number
        model:
          type: string
        usage:
          type: object
          properties:
            prompt_tokens:
              type: integer
            total_tokens:
              type: integer
  securitySchemes:
    BearerAuth:
      type: http
      scheme: bearer
      description: |
        使用 Bearer Token 认证。
        格式: `Authorization: Bearer sk-xxxxxx`

````

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