协同重新排序（Co.Rerank）

该接口接受一个查询和一个文本列表，并生成一个有序数组，其中每个文本都分配了一个相关性分数。

curl --location --request POST 'https://api.cohere.ai/v1/rerank?members&reference&Type&_postman_listIndexKey=key&_postman_listAllowsMultipleValues' \ --data-raw '{ "return_documents": false, "max_chunks_per_doc": 10, "model": "rerank-english-v2.0", "query": "What is the capital of the United States?", "documents": [ "Carson City is the capital city of the American state of Nevada.", "The Commonwealth of the Northern Mariana Islands is a group of islands in the Pacific Ocean. Its capital is Saipan.", "Washington, D.C. (also known as simply Washington or D.C., and officially as the District of Columbia) is the capital of the United States. It is a federal district.", "Capital punishment (the death penalty) has existed in the United States since beforethe United States was a country. As of 2017, capital punishment is legal in 30 of the 50 states." ] }'

{ "id": "string", "results": [ { "document": { "text": "string" }, "index": 0, "relevance_score": 0 } ], "meta": { "api_version": { "version": "string", "is_deprecated": true, "is_experimental": true }, "warnings": [ "string" ] } }

请求参数

Body 参数application/json

return_documents

boolean

可选

If false, returns results without the doc text - the api will return a list of {index, relevance score} where index is inferred from the list passed into the request. - If true, returns results with the doc text passed in - the api will return an ordered list of {index, text, relevance score} where index + text refers to the list passed into the request.

max_chunks_per_doc

integer

可选

从文档内部生成的最大块数

model

string

可选

要使用的模型的标识符，以下之一：rerank-english-v2.0,rerank-multilingual-v2.0

query

string

搜索查询

必需

documents

array[string]

必需

要重新排序的文档对象或字符串的列表。如果提供了文档，则文本字段是必需的，所有其他字段将保留在响应中。最大块总数（文档长度 * max_chunks_per_doc）必须小于 10000。

示例

application/json

Body

string

必需

results

array [object {3}]

必需

document

object

可选

index

integer

可选

relevance_score

integer

可选

协同重新排序（Co.Rerank）

请求参数

返回响应