更新知识库
更新知识库。仅更改请求体中包含的字段。
curl --request PATCH \
--url https://{api_base_url}/datasets/{dataset_id} \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"name": "<string>",
"description": "<string>",
"embedding_model": "<string>",
"embedding_model_provider": "<string>",
"partial_member_list": [
{
"user_id": "<string>"
}
],
"external_retrieval_model": {
"top_k": 123,
"score_threshold": 123,
"score_threshold_enabled": true
},
"external_knowledge_id": "<string>",
"external_knowledge_api_id": "<string>"
}
'import requests
url = "https://{api_base_url}/datasets/{dataset_id}"
payload = {
"name": "<string>",
"description": "<string>",
"embedding_model": "<string>",
"embedding_model_provider": "<string>",
"partial_member_list": [{ "user_id": "<string>" }],
"external_retrieval_model": {
"top_k": 123,
"score_threshold": 123,
"score_threshold_enabled": True
},
"external_knowledge_id": "<string>",
"external_knowledge_api_id": "<string>"
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.patch(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'PATCH',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({
name: '<string>',
description: '<string>',
embedding_model: '<string>',
embedding_model_provider: '<string>',
partial_member_list: [{user_id: '<string>'}],
external_retrieval_model: {top_k: 123, score_threshold: 123, score_threshold_enabled: true},
external_knowledge_id: '<string>',
external_knowledge_api_id: '<string>'
})
};
fetch('https://{api_base_url}/datasets/{dataset_id}', 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_base_url}/datasets/{dataset_id}",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "PATCH",
CURLOPT_POSTFIELDS => json_encode([
'name' => '<string>',
'description' => '<string>',
'embedding_model' => '<string>',
'embedding_model_provider' => '<string>',
'partial_member_list' => [
[
'user_id' => '<string>'
]
],
'external_retrieval_model' => [
'top_k' => 123,
'score_threshold' => 123,
'score_threshold_enabled' => true
],
'external_knowledge_id' => '<string>',
'external_knowledge_api_id' => '<string>'
]),
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"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_base_url}/datasets/{dataset_id}"
payload := strings.NewReader("{\n \"name\": \"<string>\",\n \"description\": \"<string>\",\n \"embedding_model\": \"<string>\",\n \"embedding_model_provider\": \"<string>\",\n \"partial_member_list\": [\n {\n \"user_id\": \"<string>\"\n }\n ],\n \"external_retrieval_model\": {\n \"top_k\": 123,\n \"score_threshold\": 123,\n \"score_threshold_enabled\": true\n },\n \"external_knowledge_id\": \"<string>\",\n \"external_knowledge_api_id\": \"<string>\"\n}")
req, _ := http.NewRequest("PATCH", url, payload)
req.Header.Add("Authorization", "Bearer <token>")
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.patch("https://{api_base_url}/datasets/{dataset_id}")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"name\": \"<string>\",\n \"description\": \"<string>\",\n \"embedding_model\": \"<string>\",\n \"embedding_model_provider\": \"<string>\",\n \"partial_member_list\": [\n {\n \"user_id\": \"<string>\"\n }\n ],\n \"external_retrieval_model\": {\n \"top_k\": 123,\n \"score_threshold\": 123,\n \"score_threshold_enabled\": true\n },\n \"external_knowledge_id\": \"<string>\",\n \"external_knowledge_api_id\": \"<string>\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://{api_base_url}/datasets/{dataset_id}")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Patch.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"name\": \"<string>\",\n \"description\": \"<string>\",\n \"embedding_model\": \"<string>\",\n \"embedding_model_provider\": \"<string>\",\n \"partial_member_list\": [\n {\n \"user_id\": \"<string>\"\n }\n ],\n \"external_retrieval_model\": {\n \"top_k\": 123,\n \"score_threshold\": 123,\n \"score_threshold_enabled\": true\n },\n \"external_knowledge_id\": \"<string>\",\n \"external_knowledge_api_id\": \"<string>\"\n}"
response = http.request(request)
puts response.read_body{
"id": "c42e2a6e-40b3-4330-96f8-f1e4d768e8c9",
"name": "Product Documentation",
"description": "产品 API 技术文档",
"provider": "vendor",
"permission": "only_me",
"data_source_type": null,
"indexing_technique": "high_quality",
"app_count": 0,
"document_count": 0,
"word_count": 0,
"created_by": "ad313dd6-ef04-4dd1-a5b0-c0f0b9e2e7e4",
"author_name": "admin",
"created_at": 1741267200,
"updated_by": "ad313dd6-ef04-4dd1-a5b0-c0f0b9e2e7e4",
"updated_at": 1741267200,
"embedding_model": "text-embedding-3-small",
"embedding_model_provider": "langgenius/openai/openai",
"embedding_available": true,
"retrieval_model_dict": {
"search_method": "semantic_search",
"reranking_enable": false,
"reranking_mode": null,
"reranking_model": {
"reranking_provider_name": "",
"reranking_model_name": ""
},
"weights": null,
"top_k": 3,
"score_threshold_enabled": false,
"score_threshold": null
},
"tags": [],
"doc_form": "text_model",
"external_knowledge_info": null,
"external_retrieval_model": null,
"doc_metadata": [],
"built_in_field_enabled": true,
"pipeline_id": null,
"runtime_mode": null,
"chunk_structure": null,
"icon_info": null,
"summary_index_setting": null,
"is_published": false,
"total_documents": 0,
"total_available_documents": 0,
"enable_api": true,
"is_multimodal": false,
"maintainer": "admin",
"partial_member_list": []
}Authorizations
Body
知识库名称。
1 - 40知识库描述。
400high_quality 使用嵌入模型进行精确搜索;economy 使用基于关键词的索引。
high_quality, economy 控制谁可以访问此知识库。only_me 仅限创建者,all_team_members 授权整个工作区访问,partial_members 授权指定成员访问。
only_me, all_team_members, partial_members 检索模型配置。控制查询此知识库时如何搜索和排序分段。
Show child attributes
Show child attributes
当 permission 为 partial_members 时有访问权限的团队成员列表。
Show child attributes
Show child attributes
外部知识库的检索设置。
Show child attributes
Show child attributes
外部知识库的 ID。
外部知识库 API 连接的 ID。
Response
知识库更新成功。
知识库的唯一标识符。
知识库的显示名称。在工作区内唯一。
描述知识库用途或内容的可选文本。
供应商类型。内部管理为 vendor,外部知识库连接为 external。
控制谁可以访问此知识库。可选值:only_me、all_team_members、partial_members。
文档的数据源类型,尚未配置时为 null。
high_quality 使用嵌入模型进行精确搜索;economy 使用基于关键词的索引。
当前使用该知识库的应用数量。
知识库中的文档总数。
所有文档的总字数。
创建该知识库的用户 ID。
创建者的显示名称。
创建时间戳(Unix 纪元,单位为秒)。
最后更新该知识库的用户 ID。
最后更新时间戳(Unix 纪元,单位为秒)。
用于索引的嵌入模型名称。
嵌入模型供应商标识符,格式为 organization/plugin_name/provider_name(例如 langgenius/openai/openai)。旧版知识库可能返回简写形式(例如 openai)。
配置的嵌入模型当前是否可用。
知识库的检索配置。
Show child attributes
Show child attributes
摘要索引配置。
Show child attributes
Show child attributes
与该知识库关联的标签。
Show child attributes
Show child attributes
文档分块模式。text_model 表示标准文本分块,hierarchical_model 表示父子结构,qa_model 表示问答对提取。
外部知识库的连接详情。当 provider 为 external 时存在。
Show child attributes
Show child attributes
外部知识库的检索设置。内部知识库时为 null。
Show child attributes
Show child attributes
知识库的元数据字段定义。
Show child attributes
Show child attributes
是否启用内置元数据字段(例如 document_name、uploader)。
自定义处理流水线的 ID(如果已配置)。
运行时处理模式。
分段结构配置。
知识库的图标显示配置。
Show child attributes
Show child attributes
知识库是否已发布。
文档总数。
已启用且可用的文档数量。
该知识库是否启用 API 访问。
是否启用多模态内容处理。
知识库维护者的显示名称。未设置时为 null。
当 permission 为 partial_members 时被授予访问权限的成员账户 ID。更新响应中始终返回;详情响应中仅当 permission 为 partial_members 时返回。
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curl --request PATCH \
--url https://{api_base_url}/datasets/{dataset_id} \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"name": "<string>",
"description": "<string>",
"embedding_model": "<string>",
"embedding_model_provider": "<string>",
"partial_member_list": [
{
"user_id": "<string>"
}
],
"external_retrieval_model": {
"top_k": 123,
"score_threshold": 123,
"score_threshold_enabled": true
},
"external_knowledge_id": "<string>",
"external_knowledge_api_id": "<string>"
}
'import requests
url = "https://{api_base_url}/datasets/{dataset_id}"
payload = {
"name": "<string>",
"description": "<string>",
"embedding_model": "<string>",
"embedding_model_provider": "<string>",
"partial_member_list": [{ "user_id": "<string>" }],
"external_retrieval_model": {
"top_k": 123,
"score_threshold": 123,
"score_threshold_enabled": True
},
"external_knowledge_id": "<string>",
"external_knowledge_api_id": "<string>"
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.patch(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'PATCH',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({
name: '<string>',
description: '<string>',
embedding_model: '<string>',
embedding_model_provider: '<string>',
partial_member_list: [{user_id: '<string>'}],
external_retrieval_model: {top_k: 123, score_threshold: 123, score_threshold_enabled: true},
external_knowledge_id: '<string>',
external_knowledge_api_id: '<string>'
})
};
fetch('https://{api_base_url}/datasets/{dataset_id}', 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_base_url}/datasets/{dataset_id}",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "PATCH",
CURLOPT_POSTFIELDS => json_encode([
'name' => '<string>',
'description' => '<string>',
'embedding_model' => '<string>',
'embedding_model_provider' => '<string>',
'partial_member_list' => [
[
'user_id' => '<string>'
]
],
'external_retrieval_model' => [
'top_k' => 123,
'score_threshold' => 123,
'score_threshold_enabled' => true
],
'external_knowledge_id' => '<string>',
'external_knowledge_api_id' => '<string>'
]),
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"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_base_url}/datasets/{dataset_id}"
payload := strings.NewReader("{\n \"name\": \"<string>\",\n \"description\": \"<string>\",\n \"embedding_model\": \"<string>\",\n \"embedding_model_provider\": \"<string>\",\n \"partial_member_list\": [\n {\n \"user_id\": \"<string>\"\n }\n ],\n \"external_retrieval_model\": {\n \"top_k\": 123,\n \"score_threshold\": 123,\n \"score_threshold_enabled\": true\n },\n \"external_knowledge_id\": \"<string>\",\n \"external_knowledge_api_id\": \"<string>\"\n}")
req, _ := http.NewRequest("PATCH", url, payload)
req.Header.Add("Authorization", "Bearer <token>")
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.patch("https://{api_base_url}/datasets/{dataset_id}")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"name\": \"<string>\",\n \"description\": \"<string>\",\n \"embedding_model\": \"<string>\",\n \"embedding_model_provider\": \"<string>\",\n \"partial_member_list\": [\n {\n \"user_id\": \"<string>\"\n }\n ],\n \"external_retrieval_model\": {\n \"top_k\": 123,\n \"score_threshold\": 123,\n \"score_threshold_enabled\": true\n },\n \"external_knowledge_id\": \"<string>\",\n \"external_knowledge_api_id\": \"<string>\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://{api_base_url}/datasets/{dataset_id}")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Patch.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"name\": \"<string>\",\n \"description\": \"<string>\",\n \"embedding_model\": \"<string>\",\n \"embedding_model_provider\": \"<string>\",\n \"partial_member_list\": [\n {\n \"user_id\": \"<string>\"\n }\n ],\n \"external_retrieval_model\": {\n \"top_k\": 123,\n \"score_threshold\": 123,\n \"score_threshold_enabled\": true\n },\n \"external_knowledge_id\": \"<string>\",\n \"external_knowledge_api_id\": \"<string>\"\n}"
response = http.request(request)
puts response.read_body{
"id": "c42e2a6e-40b3-4330-96f8-f1e4d768e8c9",
"name": "Product Documentation",
"description": "产品 API 技术文档",
"provider": "vendor",
"permission": "only_me",
"data_source_type": null,
"indexing_technique": "high_quality",
"app_count": 0,
"document_count": 0,
"word_count": 0,
"created_by": "ad313dd6-ef04-4dd1-a5b0-c0f0b9e2e7e4",
"author_name": "admin",
"created_at": 1741267200,
"updated_by": "ad313dd6-ef04-4dd1-a5b0-c0f0b9e2e7e4",
"updated_at": 1741267200,
"embedding_model": "text-embedding-3-small",
"embedding_model_provider": "langgenius/openai/openai",
"embedding_available": true,
"retrieval_model_dict": {
"search_method": "semantic_search",
"reranking_enable": false,
"reranking_mode": null,
"reranking_model": {
"reranking_provider_name": "",
"reranking_model_name": ""
},
"weights": null,
"top_k": 3,
"score_threshold_enabled": false,
"score_threshold": null
},
"tags": [],
"doc_form": "text_model",
"external_knowledge_info": null,
"external_retrieval_model": null,
"doc_metadata": [],
"built_in_field_enabled": true,
"pipeline_id": null,
"runtime_mode": null,
"chunk_structure": null,
"icon_info": null,
"summary_index_setting": null,
"is_published": false,
"total_documents": 0,
"total_available_documents": 0,
"enable_api": true,
"is_multimodal": false,
"maintainer": "admin",
"partial_member_list": []
}