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POST
/
v1
/
projects
/
{projectId}
/
knowledgebases
建立知識庫
curl --request POST \
  --url https://api.pathors.com/v1/projects/{projectId}/knowledgebases \
  --header 'Authorization: <authorization>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "name": "<string>",
  "type": "<string>",
  "embeddingModelName": "<string>",
  "chunkSize": 123,
  "chunkOverlap": 123
}
'
import requests

url = "https://api.pathors.com/v1/projects/{projectId}/knowledgebases"

payload = {
"name": "<string>",
"type": "<string>",
"embeddingModelName": "<string>",
"chunkSize": 123,
"chunkOverlap": 123
}
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({
name: '<string>',
type: '<string>',
embeddingModelName: '<string>',
chunkSize: 123,
chunkOverlap: 123
})
};

fetch('https://api.pathors.com/v1/projects/{projectId}/knowledgebases', 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.pathors.com/v1/projects/{projectId}/knowledgebases",
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([
'name' => '<string>',
'type' => '<string>',
'embeddingModelName' => '<string>',
'chunkSize' => 123,
'chunkOverlap' => 123
]),
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.pathors.com/v1/projects/{projectId}/knowledgebases"

payload := strings.NewReader("{\n \"name\": \"<string>\",\n \"type\": \"<string>\",\n \"embeddingModelName\": \"<string>\",\n \"chunkSize\": 123,\n \"chunkOverlap\": 123\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.pathors.com/v1/projects/{projectId}/knowledgebases")
.header("Authorization", "<authorization>")
.header("Content-Type", "application/json")
.body("{\n \"name\": \"<string>\",\n \"type\": \"<string>\",\n \"embeddingModelName\": \"<string>\",\n \"chunkSize\": 123,\n \"chunkOverlap\": 123\n}")
.asString();
require 'uri'
require 'net/http'

url = URI("https://api.pathors.com/v1/projects/{projectId}/knowledgebases")

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 \"name\": \"<string>\",\n \"type\": \"<string>\",\n \"embeddingModelName\": \"<string>\",\n \"chunkSize\": 123,\n \"chunkOverlap\": 123\n}"

response = http.request(request)
puts response.read_body

請求

POST https://api.pathors.com/v1/projects/{projectId}/knowledgebases

路徑參數

projectId
string
required
專案 ID

標頭

Authorization
string
required
使用您的 Developer Key 進行 Bearer 令牌認證

請求主體

name
string
required
知識庫的名稱
type
string
知識庫後端:pineconepgvector。選填 — 省略時採用部署層預設值。
embeddingModelName
string
嵌入模型。選填 — 省略時採用部署層預設值。pinecone 知識庫固定使用 llama-text-embed-v2(整合式嵌入);pgvector 支援 OpenAI 模型(如 text-embedding-3-small)、Cohere 模型,或部署層設定的自架模型。建立後無法變更。
chunkSize
number
區塊的最大字元數。預設為 500
chunkOverlap
number
相鄰區塊之間重疊的字元數。預設為 50

回應

回傳建立的知識庫,狀態碼為 201

範例

curl -X POST https://api.pathors.com/v1/projects/{projectId}/knowledgebases \
  -H "Authorization: Bearer dk_your_key" \
  -H "Content-Type: application/json" \
  -d '{
    "name": "My Knowledge Base",
    "type": "pgvector",
    "embeddingModelName": "text-embedding-3-small",
    "chunkSize": 500,
    "chunkOverlap": 50
  }'
{
  "message": "Knowledgebase created successfully"
}
目前每個專案限制只能有一個知識庫。