https://ai.google.dev/gemini-api/docs/embeddings?hl=zh-cn#rest_3 官方文档
POST
/v1beta/models/gemini-embedding-001:embedContent文本嵌入
API Key application/json
请求示例
curl -X POST https://top.qingyuntop.ai/v1beta/models/gemini-embedding-001:embedContent \
-H "Authorization: Bearer ${QINGYUN_TOP_API_KEY}" \
-H "Content-Type: application/json" \
-d '{
"content": {
"parts": [
{
"text": "What is the meaning of life?"
}
]
},
"output_dimensionality": 768,
"taskType": "SEMANTIC_SIMILARITY"
}'请求参数
| 参数 | 位置 | 类型 | 必填 | 说明 | 示例 |
|---|---|---|---|---|---|
Content-Type | Header | string | 否 | - | application/json |
content | JSON body | object | 是 | 要嵌入的内容。 | - |
content.parts | JSON body | array<object> | 否 | - | - |
content.parts[].text | JSON body | string | 否 | - | - |
output_dimensionality | JSON body | integer | 否 | 输出嵌入的可选降维。 | - |
taskType | JSON body | string | 否 | 嵌入将用于的可选任务类型。 | - |
返回响应 (200)
| 参数 | 位置 | 类型 | 必填 | 说明 | 示例 |
|---|---|---|---|---|---|
embeddings | 响应 JSON | object | 否 | - | - |
响应示例
{
"embedding": {
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}来源原始接口定义（用于追溯）
以下内容来自 Apifox 快照，可能包含兼容层字段或旧示例；公开调用请以本页的协议说明和当前模型列表为准。
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