文档重排序(Rerank)
curl --request POST \
--url https://api.gravitex.ai/v1/rerank \
--header 'Authorization: <authorization>' \
--header 'Content-Type: application/json' \
--data '
{
"model": "<string>",
"query": "<string>",
"documents": [
{}
],
"top_n": 123,
"return_documents": true
}
'import requests
url = "https://api.gravitex.ai/v1/rerank"
payload = {
"model": "<string>",
"query": "<string>",
"documents": [{}],
"top_n": 123,
"return_documents": True
}
headers = {
"Authorization": "<authorization>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: '<authorization>', 'Content-Type': 'application/json'},
body: JSON.stringify({
model: '<string>',
query: '<string>',
documents: [{}],
top_n: 123,
return_documents: true
})
};
fetch('https://api.gravitex.ai/v1/rerank', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://api.gravitex.ai/v1/rerank",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'model' => '<string>',
'query' => '<string>',
'documents' => [
[
]
],
'top_n' => 123,
'return_documents' => true
]),
CURLOPT_HTTPHEADER => [
"Authorization: <authorization>",
"Content-Type: application/json"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://api.gravitex.ai/v1/rerank"
payload := strings.NewReader("{\n \"model\": \"<string>\",\n \"query\": \"<string>\",\n \"documents\": [\n {}\n ],\n \"top_n\": 123,\n \"return_documents\": true\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "<authorization>")
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://api.gravitex.ai/v1/rerank")
.header("Authorization", "<authorization>")
.header("Content-Type", "application/json")
.body("{\n \"model\": \"<string>\",\n \"query\": \"<string>\",\n \"documents\": [\n {}\n ],\n \"top_n\": 123,\n \"return_documents\": true\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.gravitex.ai/v1/rerank")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = '<authorization>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"model\": \"<string>\",\n \"query\": \"<string>\",\n \"documents\": [\n {}\n ],\n \"top_n\": 123,\n \"return_documents\": true\n}"
response = http.request(request)
puts response.read_body文本补全和向量嵌入
文档重排序(Rerank)
根据查询对文档列表进行相关性重排序
POST
/
v1
/
rerank
文档重排序(Rerank)
curl --request POST \
--url https://api.gravitex.ai/v1/rerank \
--header 'Authorization: <authorization>' \
--header 'Content-Type: application/json' \
--data '
{
"model": "<string>",
"query": "<string>",
"documents": [
{}
],
"top_n": 123,
"return_documents": true
}
'import requests
url = "https://api.gravitex.ai/v1/rerank"
payload = {
"model": "<string>",
"query": "<string>",
"documents": [{}],
"top_n": 123,
"return_documents": True
}
headers = {
"Authorization": "<authorization>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: '<authorization>', 'Content-Type': 'application/json'},
body: JSON.stringify({
model: '<string>',
query: '<string>',
documents: [{}],
top_n: 123,
return_documents: true
})
};
fetch('https://api.gravitex.ai/v1/rerank', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://api.gravitex.ai/v1/rerank",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'model' => '<string>',
'query' => '<string>',
'documents' => [
[
]
],
'top_n' => 123,
'return_documents' => true
]),
CURLOPT_HTTPHEADER => [
"Authorization: <authorization>",
"Content-Type: application/json"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://api.gravitex.ai/v1/rerank"
payload := strings.NewReader("{\n \"model\": \"<string>\",\n \"query\": \"<string>\",\n \"documents\": [\n {}\n ],\n \"top_n\": 123,\n \"return_documents\": true\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "<authorization>")
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://api.gravitex.ai/v1/rerank")
.header("Authorization", "<authorization>")
.header("Content-Type", "application/json")
.body("{\n \"model\": \"<string>\",\n \"query\": \"<string>\",\n \"documents\": [\n {}\n ],\n \"top_n\": 123,\n \"return_documents\": true\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.gravitex.ai/v1/rerank")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = '<authorization>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"model\": \"<string>\",\n \"query\": \"<string>\",\n \"documents\": [\n {}\n ],\n \"top_n\": 123,\n \"return_documents\": true\n}"
response = http.request(request)
puts response.read_body简介
根据用户查询对候选文档列表进行相关性重排序,常用于 RAG 检索增强、知识库问答等场景。认证
string
必填
Bearer Token,如
Bearer sk-xxxxxxxxxx请求参数
string
必填
重排序模型,如
rerank-english-v2.0string
必填
查询文本
array
必填
待重排序的文档列表(字符串或对象数组)
integer
返回前 N 条结果
boolean
默认值:"false"
是否在结果中返回文档原文
请求示例
curl -X POST "https://api.gravitex.ai/v1/rerank" \
-H "Authorization: Bearer sk-xxxxxxxxxx" \
-H "Content-Type: application/json" \
-d '{
"model": "rerank-english-v2.0",
"query": "什么是向量数据库?",
"documents": [
"向量数据库用于存储和检索嵌入向量",
"今天天气晴朗",
"RAG 系统常结合重排序提升召回质量"
],
"top_n": 2,
"return_documents": true
}'
常用参数
- query:用户问题或检索 query
- documents:候选段落列表
- top_n:只返回得分最高的 N 条
- return_documents:为
true时响应包含原文
results 数组包含 index 与 relevance_score,按相关性降序排列。⌘I
