向量嵌入

curl -X POST "$BASE_URL/gemini/v1beta/models/text-embedding-004:embedContent" \
  -H "x-goog-api-key: $TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "content": {
      "parts": [{"text": "Rivus AI 是一个多云模型网关。"}]
    }
  }'

{
  "embedding": {
    "values": [0.123, -0.456, 0.789, ...]
  }
}

curl -X POST "$BASE_URL/gemini/v1beta/models/text-embedding-004:batchEmbedContents" \
  -H "x-goog-api-key: $TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "requests": [
      {"content": {"parts": [{"text": "第一段文本"}]}},
      {"content": {"parts": [{"text": "第二段文本"}]}},
      {"content": {"parts": [{"text": "第三段文本"}]}}
    ]
  }'

{
  "content": {
    "parts": [{"text": "搜索查询文本"}]
  },
  "taskType": "RETRIEVAL_QUERY"
}

{
  "content": {
    "parts": [{"text": "文本内容"}]
  },
  "outputDimensionality": 256
}

curl -X POST "$BASE_URL/v1/embeddings" \
  -H "Authorization: Bearer $TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "text-embedding-004",
    "input": "Rivus AI 是一个多云模型网关。"
  }'