多模态向量嵌入

获取给定输入的矢量表示，机器学习模型和算法可以轻松使用该表示。

相关指南：嵌入

创建表示输入文本的嵌入向量。

请求参数

Authorization

在 Header 添加参数

Authorization

，其值为在 Bearer 之后拼接 Token

示例：

Authorization: Bearer ********************

Body 参数application/json

model

string

必需

要使用的模型的 ID。您可以使用List models API 来查看所有可用模型，或查看我们的模型概述以了解它们的描述。

input

array [object {2}]

必需

输入文本以获取嵌入，编码为字符串或标记数组。要在单个请求中获取多个输入的嵌入，请传递一个字符串数组或令牌数组数组。每个输入的长度不得超过 8192 个标记。

text

string

必需

image

string

必需

normalized

boolean

必需

embedding_type

string

必需

示例

{
  "model": "jina-clip-v1",
  "normalized": true,
  "embedding_type": "float",
  "input": [
    {
      "text": "A blue cat"
    },
    {
      "text": "A red dog"
    },
    {
      "text": "btw to represent image u can either use URL or encode image into base64 like below."
    },
    {
      "image": "https://i.pinimg.com/600x315/21/48/7e/21487e8e0970dd366dafaed6ab25d8d8.jpg"
    },
    {
      "image": "R0lGODlhEAAQAMQAAORHHOVSKudfOulrSOp3WOyDZu6QdvCchPGolfO0o/XBs/fNwfjZ0frl3/zy7////wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACH5BAkAABAALAAAAAAQABAAAAVVICSOZGlCQAosJ6mu7fiyZeKqNKToQGDsM8hBADgUXoGAiqhSvp5QAnQKGIgUhwFUYLCVDFCrKUE1lBavAViFIDlTImbKC5Gm2hB0SlBCBMQiB0UjIQA7"
    }
  ]
}

示例代码

Shell

JavaScript

Java

Swift

PHP

Python

HTTP

Objective-C

Ruby

OCaml

Dart

返回响应

🟢200Create embeddings

application/json

Body

object

string

必需

data

array [object {3}]

必需

object

string

可选

embedding

array[number]

可选

index

integer

可选

model

string

必需

usage

object

必需

prompt_tokens

integer

必需

total_tokens

integer

必需

示例

{
    "object": "list",
    "data": [
        {
            "object": "embedding",
            "index": 0,
            "embedding": [
                -0.008161531,
                0.0040345504,
                -0.037822176,
                -0.012172974,
                -0.06706689,
                0.006793573,
                -0.046473585,
                -0.02695246,
                0.074609146,
                0.0013552485,
                -0.008032129,
                0.042369712,
                0.06802816,
                0.0047601224,
                0.075015835,
                -0.057084497,
                0.035086263,
                0.056049287,
                0.048913725,
                0.040742952,
                -0.08289083,
                -0.002026518,
                -0.009926935,
                -0.031592425,
                -0.029706862,
                -0.032147,
                -0.021110913,
                0.004177816,
                0.018587586,
                0.0009889964,
                0.0024332083,
                0.0451426,
                -0.0018139302,
                -0.034716543,
                -0.030723587,
                -0.07412851,
                -0.0106294,
                0.003107944,
                0.007112455,
                0.001519311,
                -0.03203609,
                -0.04148239,
                0.021110913,
                0.018097708,
                -0.041852105,
                0.062038723,
                0.02251584,
                0.017136442,
                -0.025566017,
                -0.03745246,
                -0.031943657,
                -0.016905367,
                -0.08725351,
                -0.032941896,
                -0.03419894,
                0.034790486,
                -0.008984153,
                0.018430455,
                0.017108712,
                0.020371476,
                -0.0065162843,
                0.00784727,
                0.055790484,
                0.018680016,
                0.01203433,
                0.03366285,
                -0.04754577,
                -0.009376979,
                -0.013051054,
                -0.028024644,
                0.021924293,
                0.01488116,
                -0.03297887,
                0.03185123,
                -0.018236352,
                0.017848149,
                0.056419007,
                -0.05671478,
                -0.005370158,
                -0.049727105,
                -0.030113552,
                0.020260561,
                0.00006798628,
                0.037748232,
                0.001722656,
                -0.031999115,
                0.0358257,
                0.042221826,
                0.0140492935,
                0.046510555,
                0.021184856,
                0.056382034,
                -0.03717517,
                -0.055235907,
                0.05146478,
                0.032294888,
                0.0240132,
                -0.02392077,
                0.039153162,
                0.07616196,
                -0.016618835,
                0.04861795,
                0.006414612,
                0.004339568,
                -0.012228431,
                0.056640837,
                0.018707743,
                0.009963907,
                -0.039522883,
                -0.030963903,
                0.019336265,
                0.03283098,
                -0.046510555,
                0.07874999,
                0.0073481505,
                0.014502198,
                -0.024179574,
                0.0014626979,
                -0.03930105,
                0.09449998,
                0.08607041,
                0.030261438,
                -0.0146316,
                -0.023809856,
                0.024235032,
                0.004986575,
                -0.01841197,
                0.0016752859,
                0.00083013304,
                0.023809856,
                -0.030353868,
                -0.06824999,
                -0.013716547,
                -0.05346126,
                0.011063819,
                -0.05346126,
                0.07638379,
                -0.012921653,
                0.034568656,
                -0.014474469,
                -0.051797528,
                0.023329223,
                -0.003489216,
                -0.029096827,
                0.02948503,
                -0.031647883,
                -0.018587586,
                -0.0015967208,
                -0.027470067,
                -0.041999992,
                -0.031407565,
                -0.013152727,
                0.058896117,
                0.006081865,
                0.057084497,
                -0.007851891,
                -0.006400747,
                -0.05856337,
                -0.04614084,
                -0.013855192,
                -0.035881158,
                0.0014280367,
                -0.010213466,
                -0.00067300274,
                0.01112852,
                0.033311617,