知识库

更新时间：2024-12-11

知识库组件（KnowledgeBase）

简介

知识库组件（KnowledgeBase）是对线上知识库操作的组件，可以通过SDK实现创建知识库、添加知识文档、查询知识库文档、删除知识文档等操作，可在平台console中查看结果。

功能介绍

对console端知识库进行操作，可以通过SDK实现创建知识库、添加知识文档、查询知识库文档、删除知识文档等操作，可在平台console中查看结果。

特色优势

和console端知识库操作一致，可实现快速创建、查询、删除等操作。

应用场景

通过SDK代码实现console端知识库操作。

Python基本用法

1、新建知识库

KnowledgeBase().create_knowledge_base(name: str, description: str, type: str, esUrl: str, esUserName: str, esPassword: str) -> KnowledgeBaseDetailResponse

方法参数

参数名称	参数类型	是否必传	描述	示例值
name	string	是	希望创建的知识库名称	"我的知识库"
description	string	否	知识库描述	"我的知识库"
type	string	是	知识库索引存储配置 (public、bes、vdb)	"public"
esUrl	string	否	bes 访问地址，type填bes时填写	"http://test/test"
esUserName	string	否	bes 用户名，type填bes时填写	"username"
esPassword	string	否	bes密码，type填bes时填写	"password"

方法返回值

KnowledgeBaseDetailResponse 类定义如下：

class KnowledgeBaseDetailResponse(BaseModel):
    id: str = Field(..., description="知识库ID")
    name: str = Field(..., description="知识库名称")
    description: Optional[str] = Field(None, description="知识库描述")
    config: Optional[KnowledgeBaseConfig] = Field(..., description="知识库配置")

衍生类KnowledgeBaseConfig定义如下：

class KnowledgeBaseConfig(BaseModel):
    index: Optional[KnowledgeBaseConfigIndex] = Field(..., description="索引配置")

衍生类KnowledgeBaseConfigIndex定义如下：

class KnowledgeBaseConfigIndex(BaseModel):
    type: str = Field(..., description="索引类型", enum=["public", "bes", "vdb"])
    esUrl: Optional[str] = Field(..., description="ES地址")
    username: Optional[str] = Field(None, description="ES用户名")
    password: Optional[str] = Field(None, description="ES密码")

方法示例

import os
import appbuilder
os.environ["APPBUILDER_TOKEN"] = "your_appbuilder_token"

knowledge = appbuilder.KnowledgeBase()
resp = knowledge.create_knowledge_base(
        name="my_knowledge",
        description="my_knowledge",
        type="public",
    )
print("新建的知识库ID: ", resp.id)
print("新建的知识库名称: ", resp.name)

# 新建的知识库ID:  da51a988-cbe7-4b24-aa5b-768985e8xxxx
# 新建的知识库名称:  my_knowledge

2、实例化已创建的知识库

KnowledgeBase(knowledge_id: str)

方法参数

参数名称	参数类型	是否必传	描述	示例值
knowledge_id	string	是	线上知识库ID	"正确的知识库ID"

方法返回值

参数名称	参数类型	必然存在	描述	示例值
KnowledgeBase	class KnowledgeBase	是	实例化的知识库类	-

方法示例

import os
import appbuilder
os.environ["APPBUILDER_TOKEN"] = "your_appbuilder_token"

my_knowledge_base_id = "your_knowledge_base_id"
my_knowledge = appbuilder.KnowledgeBase(my_knowledge_base_id)
print("知识库ID: ", my_knowledge.knowledge_id)

# 知识库ID:  your_knowledge_base_id

3、获取知识库详情

get_knowledge_base_detail(knowledge_base_id: Optional[str] = None) -> KnowledgeBaseDetailResponse

方法参数

参数名称	参数类型	是否必传	描述	示例值
knowledge_id	string	是	线上知识库ID	"正确的知识库ID"

方法返回值

KnowledgeBaseDetailResponse 类定义如下：

class KnowledgeBaseDetailResponse(BaseModel):
    id: str = Field(..., description="知识库ID")
    name: str = Field(..., description="知识库名称")
    description: Optional[str] = Field(None, description="知识库描述")
    config: Optional[KnowledgeBaseConfig] = Field(..., description="知识库配置")

衍生类KnowledgeBaseConfig定义如下：

class KnowledgeBaseConfig(BaseModel):
    index: Optional[KnowledgeBaseConfigIndex] = Field(..., description="索引配置")

衍生类KnowledgeBaseConfigIndex定义如下：

class KnowledgeBaseConfigIndex(BaseModel):
    type: str = Field(..., description="索引类型", enum=["public", "bes", "vdb"])
    esUrl: Optional[str] = Field(..., description="ES地址")
    username: Optional[str] = Field(None, description="ES用户名")
    password: Optional[str] = Field(None, description="ES密码")

方法示例

import os
import appbuilder
os.environ["APPBUILDER_TOKEN"] = "your_appbuilder_token"

knowledge = appbuilder.KnowledgeBase()
resp = knowledge.get_knowledge_base_detail("da51a988-cbe7-4b24-aa5b-768985e8xxxx")
print("新建的知识库ID: ", resp.id)
print("新建的知识库名称: ", resp.name)

# 新建的知识库ID:  da51a988-cbe7-4b24-aa5b-768985e8xxxx
# 新建的知识库名称:  my_knowledge

4、获取知识库列表

get_knowledge_base_list(knowledge_base_id: Optional[str] = None, maxKeys: int = 10, keyword: Optional[str] = None) -> KnowledgeBaseGetListResponse

方法参数

参数名称	参数类型	是否必传	描述	示例值
knowledge_base_id	string	是	起始位置，知识库id	"正确的知识库ID"
maxKeys	int	否	数据大小，默认10，最大值100	10
keyword	string	否	搜索关键字	"测试"

方法返回值

KnowledgeBaseGetListResponse 类定义如下：

class KnowledgeBaseGetListResponse(BaseModel):
    requestId: str = Field(..., description="请求ID")
    data: list[KnowledgeBaseDetailResponse] = Field([], description="知识库详情列表")
    marker: str = Field(..., description="起始位置")
    nextMarker: str = Field(..., description="下一页起始位置")
    maxKeys: int = Field(10, description="返回文档数量大小，默认10，最大值100")
    isTruncated: bool = Field(..., description="是否有更多结果")

衍生类KnowledgeBaseDetailResponse 定义如下：

class KnowledgeBaseDetailResponse(BaseModel):
    id: str = Field(..., description="知识库ID")
    name: str = Field(..., description="知识库名称")
    description: Optional[str] = Field(None, description="知识库描述")
    config: Optional[KnowledgeBaseConfig] = Field(..., description="知识库配置")

衍生类KnowledgeBaseConfig定义如下：

class KnowledgeBaseConfig(BaseModel):
    index: Optional[KnowledgeBaseConfigIndex] = Field(..., description="索引配置")

衍生类KnowledgeBaseConfigIndex定义如下：

class KnowledgeBaseConfigIndex(BaseModel):
    type: str = Field(..., description="索引类型", enum=["public", "bes", "vdb"])
    esUrl: Optional[str] = Field(..., description="ES地址")
    username: Optional[str] = Field(None, description="ES用户名")
    password: Optional[str] = Field(None, description="ES密码")

方法示例：

import os
import appbuilder
os.environ["APPBUILDER_TOKEN"] = "your_appbuilder_token"

knowledge = appbuilder.KnowledgeBase()
resp = knowledge.get_knowledge_base_list("da51a988-cbe7-4b24-aa5b-768985e8xxxx",10)
print("获取到的知识库列表: ", resp)

5、修改知识库

modify_knowledge_base(knowledge_base_id: Optional[str] = None, name: Optional[str] = None, description: Optional[str] = None)

方法参数

参数名称	参数类型	是否必传	描述	示例值
knowledge_base_id	string	是	起始位置，知识库id	"正确的知识库ID"
name	string	否	修改后的知识库名称	"new_name"
description	string	否	修改后的知识库描述	"测试"

方法示例

import os
import appbuilder
os.environ["APPBUILDER_TOKEN"] = "your_appbuilder_token"

knowledge = appbuilder.KnowledgeBase()
knowledge.modify_knowledge_base("da51a988-cbe7-4b24-aa5b-768985e8xxxx", name="new_name", description="测试")

6、删除知识库

delete_knowledge_base(knowledge_base_id: Optional[str] = None)

方法参数

参数名称	参数类型	是否必传	描述	示例值
knowledge_base_id	string	是	知识库的id	"正确的知识库ID"

import os
import appbuilder
os.environ["APPBUILDER_TOKEN"] = "your_appbuilder_token"

knowledge = appbuilder.KnowledgeBase()
knowledge.delete_knowledge_base("da51a988-cbe7-4b24-aa5b-768985e8xxxx")

7、导入知识库

create_documents(id: Optional[str] = None, contentFormat: str = "", source: DocumentSource = None, processOption: DocumentProcessOption = None)

方法参数

参数名称	参数类型	是否必传	描述	示例值
id	string	是	知识库id	"正确的知识库ID"
contentFormat	string	是	文档格式：rawText (允许配置后续分割策略), qa(不支持配置后续分割策略)	"rawText"
source	DocumentSource	是	数据来源
processOption	DocumentProcessOption	当contentFormat参数配置为rawText时必传	文档处理策略

DocumentSource类定义如下：

class DocumentSource(BaseModel):
    type: str = Field(..., description="数据来源类型", enum=["bos", "web"])
    urls: list[str] = Field(None, description="文档URL")
    urlDepth: int = Field(None, description="url下钻深度，1时不下钻")

DocumentProcessOption类及衍生类定义如下：

class DocumentProcessOption(BaseModel):
    template: str = Field(
        ...,
        description="模板类型，ppt：模版配置—ppt幻灯片, resume：模版配置—简历文档, paper：模版配置—论文文档, custom：自定义配置—自定义切片, default：自定义配置—默认切分",
        enum=["ppt", "paper", "qaPair", "resume", " custom", "default"],
    )
    parser: Optional[DocumentChoices] = Field(None, description="解析方法(文字提取默认启动，参数不体现，layoutAnalysis版面分析，ocr按需增加)")
    knowledgeAugmentation: Optional[DocumentChoices] = Field(
        None, description="知识增强，faq、spokenQuery、spo、shortSummary按需增加。问题生成:faq、spokenQuery，段落摘要:shortSummary，三元组知识抽取:spo"
    )
    chunker: Optional[DocumentChunker] = Field(None, description="分段器类型")

class DocumentChoices(BaseModel):
    choices: list[str] = Field(..., description="选择项")

class DocumentChunker(BaseModel):
    choices: list[str] = Field(..., description="使用哪些chunker方法 (separator | pattern | onePage)，separator：自定义切片—标识符，pattern：自定义切片—标识符中选择正则表达式，onePage：整文件切片")
    prependInfo: list[str] = Field(
        ...,
        description="chunker关联元数据，可选值为title (增加标题), filename(增加文件名)",
    )
    separator: Optional[DocumentSeparator] = Field(..., description="分隔符配置")
    pattern: Optional[DocumentPattern] = Field(None, description="正则表达式")

class DocumentSeparator(BaseModel):
    separators: list[str] = Field(..., description="分隔符列表，可以使用分页符")
    targetLength: int = Field(..., description="分段最大长度")
    overlapRate: float = Field(..., description="分段重叠最大字数占比，推荐值0.25")

class DocumentPattern(BaseModel):
    markPosition: str = Field(
        ..., description="命中内容放置策略, head：前序切片, tail：后序切片, drop：匹配后丢弃", enum=["head", "tail", "drop"]
    )
    regex: str = Field(..., description="正则表达式")
    targetLength: int = Field(..., description="分段最大长度")
    overlapRate: float = Field(..., description="分段重叠最大字数占比，推荐值0.25")

方法示例

import os
import appbuilder
os.environ["APPBUILDER_TOKEN"] = "your_appbuilder_token"

knowledge_base_id = "your_knowledge_base_id"
knowledge = appbuilder.KnowledgeBase()
knowledge.create_documents(
	id=knowledge_base_id,
	contentFormat="rawText",
	source=appbuilder.DocumentSource(
		type="web",
		urls=["https://baijiahao.baidu.com/s?id=1802527379394162441"],
    urlDepth=1,
  ),
	processOption=appbuilder.DocumentProcessOption(
		template="custom",
		parser=appbuilder.DocumentChoices(
			choices=["layoutAnalysis", "ocr"]
		),
		chunker=appbuilder.DocumentChunker(
			choices=["separator"],
			separator=appbuilder.DocumentSeparator(
				separators=["。"],
				targetLength=300,
				overlapRate=0.25,
      ),
			prependInfo=["title", "filename"],
		),
		knowledgeAugmentation=appbuilder.DocumentChoices(choices=["faq"]),
	),
)

8、上传文档到知识库

upload_documents(file_path: str, content_format: str = "rawText", id: Optional[str] = None, processOption: DocumentProcessOption = None)

方法参数

参数名称	参数类型	是否必传	描述	示例值
file_path	string	是	文件路径	"正确的文件路径"
content_format	string	否	文档格式：rawText (允许配置后续分割策略), qa(不支持配置后续分割策略)	"rawText"
id	string	是	知识库ID	"正确的知识库ID"
processOption	DocumentProcessOption	是	文档处理策略

DocumentProcessOption类及衍生类定义如下：

class DocumentProcessOption(BaseModel):
    template: str = Field(
        ...,
        description="模板类型，ppt: 模版配置—ppt幻灯片, resume：模版配置—简历文档, paper：模版配置—论文文档, custom：自定义配置—自定义切片, default：自定义配置—默认切分",
        enum=["ppt", "paper", "qaPair", "resume", " custom", "default"],
    )
    parser: Optional[DocumentChoices] = Field(None, description="解析器类型")
    knowledgeAugmentation: Optional[DocumentChoices] = Field(
        None, description="知识增强，faq、spokenQuery、spo、shortSummary按需增加。问题生成:faq、spokenQuery，段落摘要:shortSummary，三元组知识抽取:spo"
    )
    chunker: Optional[DocumentChunker] = Field(None, description="分段器类型")

class DocumentChoices(BaseModel):
    choices: list[str] = Field(..., description="选择项")

class DocumentChunker(BaseModel):
    choices: list[str] = Field(..., description="使用哪些chunker方法 (separator | pattern | onePage), separator：自定义切片—标识符，pattern：自定义切片—标识符中选择正则表达式，onePage：整文件切片")
    prependInfo: list[str] = Field(
        ...,
        description="chunker关联元数据，可选值为title (增加标题), filename(增加文件名)",
    )
    separator: Optional[DocumentSeparator] = Field(..., description="分段符号")
    pattern: Optional[DocumentPattern] = Field(None, description="正则表达式")

class DocumentSeparator(BaseModel):
    separators: list[str] = Field(..., description="分段符号")
    targetLength: int = Field(..., description="分段最大长度")
    overlapRate: float = Field(..., description="分段重叠最大字数占比，推荐值0.25")

class DocumentPattern(BaseModel):
    markPosition: str = Field(
        ..., description="命中内容放置策略, head：前序切片, tail：后序切片, drop：匹配后丢弃", enum=["head", "tail", "drop"]
    )
    regex: str = Field(..., description="正则表达式")
    targetLength: int = Field(..., description="分段最大长度")
    overlapRate: float = Field(..., description="分段重叠最大字数占比，推荐值0.25")

方法示例

import os
import appbuilder
os.environ["APPBUILDER_TOKEN"] = "your_appbuilder_token"

knowledge_base_id = "your_knowledge_base_id"
knowledge = appbuilder.KnowledgeBase()
knowledge.upload_documents(
	id=knowledge_base_id,
	content_format="rawText",
	file_path="./appbuilder/tests/data/qa_appbuilder_client_demo.pdf",
	processOption=appbuilder.DocumentProcessOption(
		template="custom",
		parser=appbuilder.DocumentChoices(
			choices=["layoutAnalysis", "ocr"]
		),
		chunker=appbuilder.DocumentChunker(
			choices=["separator"],
			separator=appbuilder.DocumentSeparator(
				separators=["。"],
				targetLength=300,
				overlapRate=0.25,
      ),
			prependInfo=["title", "filename"],
		),
		knowledgeAugmentation=appbuilder.DocumentChoices(choices=["faq"]),
	),
)

9、上传通用文档

KnowledgeBase().upload_file(file_path: str)->KnowledgeBaseUploadFileResponse

方法参数

参数名称	参数类型	是否必传	描述	示例值
file_path	string	是	本地的文件路径	"/home/my_doc"

方法返回值

KnowledgeBaseUploadFileResponse 类定义如下

class KnowledgeBaseUploadFileResponse(BaseModel):
    request_id: str = Field(..., description="请求ID")
    id: str = Field(..., description="文件ID")
    name: str = Field(..., description="文件名称")

方法示例

import os
import appbuilder
os.environ["APPBUILDER_TOKEN"] = "your_appbuilder_token"

my_knowledge_base_id = "your_knowledge_base_id"
my_knowledge = appbuilder.KnowledgeBase(my_knowledge_base_id)
print("知识库ID: ", my_knowledge.knowledge_id)

upload_res = my_knowledge.upload_file("./test.txt")
print(upload_res)

# 知识库ID:  da51a988-cbe7-4b24-aa5b-768985e8xxxx
# request_id='255eec22-ec87-4564-bdeb-3e5623eaxxxx' id='ef12119b-d5be-492a-997c-77f8e84axxxx' name='test.txt'

10、向知识库添加文档

KnowledgeBase().add_document()->KnowledgeBaseAddDocumentResponse

方法参数

参数名称	参数类型	是否必传	描述	示例值
content_type	enum[str]	是	知识库文档类型，有raw_text和qa两种可选，分别对应文本文档和结构化的excel问答对	"raw_text"
file_ids	list[str]	是	文件ID列表，文件ID通过`upload_file`接口获得	['ef12119b-d5be-492a-997c-77f8e84axxxx']
is_enhanced	bool	否	文档是否开启基于大模型的知识增强	False
custom_process_rule	CustomProcessRule	否	文档的自定义切分逻辑	`appbuilder.CustomProcessRule(separators=["?"], target_length=400,overlap_rate=0.2)`

CustomProcessRule 类定义如下：

class CustomProcessRule(BaseModel):
    separators: list[str] = Field(..., description="分段符号列表", example=[",", "?"])
    target_length: int = Field(..., description="分段最大长度", ge=300, le=1200)
    overlap_rate: float = Field(..., description="分段重叠最大字数占比，推荐值0.25", ge=0, le=0.3, example=0.2)

方法返回值

方法返回KnowledgeBaseAddDocumentResponse，该类定义如下：

class KnowledgeBaseAddDocumentResponse(BaseModel):
    request_id: str = Field(..., description="请求ID")
    knowledge_base_id: str = Field(..., description="知识库ID")
    document_ids: list[str] = Field(..., description="成功新建的文档id集合")

方法示例

import os
import appbuilder
os.environ["APPBUILDER_TOKEN"] = "your_appbuilder_token"

my_knowledge_base_id = "your_knowledge_base_id"
my_knowledge = appbuilder.KnowledgeBase(my_knowledge_base_id)
print("知识库ID: ", my_knowledge.knowledge_id)

upload_res = my_knowledge.upload_file("./test.txt")
print("文件上传结果: ",upload_res)

add_res = my_knowledge.add_document(content_type='raw_text', file_ids=[upload_res.id])
print("添加文档结果: ",add_res)

# 知识库ID:  da51a988-cbe7-4b24-aa5b-768985e8xxxx
# 文件上传结果: request_id='255eec22-ec87-4564-bdeb-3e5623eaxxxx' id='ef12119b-d5be-492a-997c-77f8e84axxxx' name='test.txt'
# 添加文档结果: request_id='412e1630-b570-47c9-a042-caf3cd9dxxxx' knowledge_base_id='da51a988-cbe7-4b24-aa5b-768985e8xxxx' document_ids=['5e0eb279-7688-4100-95d1-241f3d19xxxx']

11、从知识库删除文档

KnowledgeBase().delete_document()->KnowledgeBaseDeleteDocumentResponse

方法参数

参数名称	参数类型	是否必传	描述	示例值
document_id	string	是	待删除的文档ID	'5e0eb279-7688-4100-95d1-241f3d19xxxx'

方法返回值

方法返回 KnowledgeBaseDeleteDocumentResponse, 该类的定义是

class KnowledgeBaseDeleteDocumentResponse(BaseModel):
    request_id: str = Field(..., description="请求ID")

方法示例

import os
import appbuilder
os.environ["APPBUILDER_TOKEN"] = "your_appbuilder_token"

my_knowledge_base_id = "your_knowledge_base_id"
my_knowledge = appbuilder.KnowledgeBase(my_knowledge_base_id)
print("知识库ID: ", my_knowledge.knowledge_id)

upload_res = my_knowledge.upload_file("./test.txt")
print("文件上传结果: ",upload_res)

add_res = my_knowledge.add_document(content_type='raw_text', file_ids=[upload_res.id])
print("添加文档结果: ",add_res)

delete_res = my_knowledge.delete_document(document_id=add_res.document_ids[0])
print("删除文档结果: ",delete_res)

# 知识库ID:  da51a988-cbe7-4b24-aa5b-768985e8xxxx
# 文件上传结果: request_id='255eec22-ec87-4564-bdeb-3e5623eaxxxx' id='ef12119b-d5be-492a-997c-77f8e84axxxx' name='test.txt'
# 添加文档结果: request_id='412e1630-b570-47c9-a042-caf3cd9dxxxx' knowledge_base_id='da51a988-cbe7-4b24-aa5b-768985e8xxxx' document_ids=['5e0eb279-7688-4100-95d1-241f3d19xxxx']
# 删除文档结果: request_id='ba0e8bc0-b799-45b5-bdac-0d4c50e2xxxx'

12、获取知识库的文档列表

KnowledgeBase().get_documents_list()->KnowledgeBaseGetDocumentsListResponse

方法参数

参数名称	参数类型	是否必传	描述	示例值
limit	int	否	单次请求列表获得的文档数量,最大100	10
after	str	否	用于分页的游标。after 是一个文档的id，它定义了在列表中的位置。例如，如果你发出一个列表请求并收到 10个对象，以 app_id_123 结束，那么你后续的调用可以包含 after=app_id_123 以获取列表的下一页数据。默认为空	'5e0eb279-7688-4100-95d1-241f3d19xxxx'
before	str	否	用于分页的游标。与after相反，填写它将获取前一页数据,如果和after都传，两个参数都会起到分页效果，默认为空	'5e0eb279-7688-4100-95d1-241f3d19xxxx'

方法返回值

方法返回类KnowledgeBaseGetDocumentsListResponse，定义为

class KnowledgeBaseGetDocumentsListResponse(BaseModel):
    request_id: str = Field(..., description="请求ID")
    data: list[Document] = Field([], description="文档信息列表")

衍生类Document以及DocumentMeta定义为：

class Document(BaseModel):
    id: str = Field(..., description="文档ID")
    name: str = Field(..., description="文档名称")
    created_at: str = Field(..., description="文档创建时间")
    word_count: int = Field(..., description="文档字数")
    enabled: bool = Field(True, description="文档是否可用")
    meta: Optional[DocumentMeta] = Field(..., description="文档元信息，包括source、file_id")

class DocumentMeta(BaseModel):
    source: str = Field("", description="文档来源")
    file_id: str = Field("", description="文档对应的文件ID")

方法示例

import os
import appbuilder
os.environ["APPBUILDER_TOKEN"] = "your_appbuilder_token"

my_knowledge_base_id = "your_knowledge_base_id"
my_knowledge = appbuilder.KnowledgeBase(my_knowledge_base_id)
print("知识库ID: ", my_knowledge.knowledge_id)

list_res = my_knowledge.get_documents_list(my_knowledge_base_id)
print("文档列表: ", list_res)

# 知识库ID:  da51a988-cbe7-4b24-aa5b-768985e8xxxx
# 文档列表: request_id='f66c2193-6035-4022-811b-c4cd7743xxxx' data=[{'id': '8f388b10-5e6a-423f-8acc-dd5fdc2fxxxx', 'name': 'test.txt', 'created_at': 1719988868, 'word_count': 16886, 'enabled': True, 'meta': {'source': 'upload_file', 'file_id': '0ebb03fb-ea48-4c49-b494-cf0cec11xxxx'}}, {'id': '5e0eb279-7688-4100-95d1-241f3d19xxxx', 'name': 'test.txt', 'created_at': 1719987921, 'word_count': 16886, 'enabled': True, 'meta': {'source': 'upload_file', 'file_id': '059e2ae2-1e3c-43ea-8b42-5d988f93xxxx'}}]

13、获取知识库全部文档

KnowledgeBase().get_all_documents()->list

方法参数

参数名称	参数类型	是否必传	描述	示例值
knowledge_base_id	string	是	线上知识库ID	"正确的知识库ID"

方法返回值

list 数据类型list[Document]

衍生类Document以及DocumentMeta定义为：

class Document(BaseModel):
    id: str = Field(..., description="文档ID")
    name: str = Field(..., description="文档名称")
    created_at: str = Field(..., description="文档创建时间")
    word_count: int = Field(..., description="文档字数")
    enabled: bool = Field(True, description="文档是否可用")
    meta: Optional[DocumentMeta] = Field(..., description="文档元信息，包括source、file_id")

class DocumentMeta(BaseModel):
    source: str = Field("", description="文档来源")
    file_id: str = Field("", description="文档对应的文件ID")

方法示例

import os
import appbuilder
os.environ["APPBUILDER_TOKEN"] = "your_appbuilder_token"

my_knowledge_base_id = "your_knowledge_base_id"
my_knowledge = appbuilder.KnowledgeBase(my_knowledge_base_id)
print("知识库ID: ", my_knowledge.knowledge_id)

doc_list = knowledge.get_all_documents(my_knowledge_base_id)
for message in doc_list:
    print(message)

14. 创建切片

create_chunk(documentId: str, content: str) -> CreateChunkResponse

方法参数

参数名称	参数类型	是否必传	描述	示例值
documentId	string	是	文档ID	"正确的文档ID"
content	string	是	切片内容	"内容"

方法返回值

CreateChunkResponse类定义如下：

class CreateChunkResponse(BaseModel):
    id: str = Field(..., description="切片ID")

方法示例

import os
import appbuilder
os.environ["APPBUILDER_TOKEN"] = "your_appbuilder_token"

my_knowledge_base_id = "your_knowledge_base_id"
my_knowledge = appbuilder.KnowledgeBase(my_knowledge_base_id)
print("知识库ID: ", my_knowledge.knowledge_id)
resp = my_knowledge.create_chunk("your_document_id", "content")
print("切片ID: ", resp.id)
chunk_id = resp.id

15. 修改切片信息

modify_chunk(chunkId: str, content: str, enable: bool)

方法参数

参数名称	参数类型	是否必传	描述	示例值
chunkId	string	是	文档ID	"正确的切片ID"
content	string	是	切片内容	"内容"
enable	bool	是	是否用该切片	True

方法示例

import os
import appbuilder
os.environ["APPBUILDER_TOKEN"] = "your_appbuilder_token"

my_knowledge_base_id = "your_knowledge_base_id"
my_knowledge = appbuilder.KnowledgeBase(my_knowledge_base_id)
print("知识库ID: ", my_knowledge.knowledge_id)
my_knowledge.modify_chunk("your_chunk_id", "content", True)

16. 删除切片

delete_chunk(chunkId: str)

方法参数

参数名称	参数类型	是否必传	描述	示例值
chunkId	string	是	文档ID	"正确的切片ID"

方法示例

import os
import appbuilder
os.environ["APPBUILDER_TOKEN"] = "your_appbuilder_token"

my_knowledge_base_id = "your_knowledge_base_id"
my_knowledge = appbuilder.KnowledgeBase(my_knowledge_base_id)
print("知识库ID: ", my_knowledge.knowledge_id)
my_knowledge.delete_chunk("your_chunk_id")

17. 获取切片信息

describe_chunk(chunkId: str)

方法参数

参数名称	参数类型	是否必传	描述	示例值
chunkId	string	是	文档ID	"正确的切片ID"

方法返回值

DescribeChunkResponse类定义如下:

class DescribeChunkResponse(BaseModel):
    id: str = Field(..., description="切片ID")
    type: str = Field(..., description="切片类型")
    knowledgeBaseId: str = Field(..., description="知识库ID")
    documentId: str = Field(..., description="文档ID")
    content: str = Field(..., description="文档内容")
    enabled: bool = Field(..., description="是否启用")
    wordCount: int = Field(..., description="切片内字符数量")
    tokenCount: int = Field(..., description="切片内token数量")
    status: str = Field(..., description="切片状态")
    statusMessage: str = Field(..., description="切片状态信息")
    imageUrls: list[str] = Field(..., description="图片地址")
    createTime: int = Field(..., description="创建时间")
    updateTime: int = Field(None, description="更新时间")

方法示例

import os
import appbuilder
os.environ["APPBUILDER_TOKEN"] = "your_appbuilder_token"

my_knowledge_base_id = "your_knowledge_base_id"
my_knowledge = appbuilder.KnowledgeBase(my_knowledge_base_id)
print("知识库ID: ", my_knowledge.knowledge_id)
resp = my_knowledge.describe_chunk("your_chunk_id")
print("切片详情：")
print(resp)

18. 获取切片列表

describe_chunks(documentId: str, marker: str = None, maxKeys: int = None, type: str = None) -> DescribeChunksResponse

方法参数

参数名称	参数类型	是否必传	描述	示例值
documentId	string	是	文档ID	"正确的文档ID"
marker	string	否	起始位置，切片ID	"正确的切片ID"
maxKeys	string	否	返回文档数量大小，默认10，最大值100	10
type	string	否	根据类型获取切片列表(RAW、NEW、COPY)，RAW：原文切片，NEW：新增切片，COPY：复制切片	"RAW"

方法返回值

DescribeChunksResponse 类定义如下：

class DescribeChunksResponse(BaseModel):
    data: list[DescribeChunkResponse] = Field(..., description="切片列表")
    marker: str = Field(..., description="起始位置")
    isTruncated: bool = Field(
        ..., description="true表示后面还有数据，false表示已经是最后一页"
    )
    nextMarker: str = Field(..., description="下一页起始位置")
    maxKeys: int = Field(..., description="本次查询包含的最大结果集数量")

衍生类DescribeChunkResponse定义如下：

class DescribeChunkResponse(BaseModel):
    id: str = Field(..., description="切片ID")
    type: str = Field(..., description="切片类型")
    knowledgeBaseId: str = Field(..., description="知识库ID")
    documentId: str = Field(..., description="文档ID")
    content: str = Field(..., description="文档内容")
    enabled: bool = Field(..., description="是否启用")
    wordCount: int = Field(..., description="切片内字符数量")
    tokenCount: int = Field(..., description="切片内token数量")
    status: str = Field(..., description="切片状态")
    statusMessage: str = Field(..., description="切片状态信息")
    imageUrls: list[str] = Field(..., description="图片地址")
    createTime: int = Field(..., description="创建时间")
    updateTime: int = Field(None, description="更新时间")

方法示例

import os
import appbuilder
os.environ["APPBUILDER_TOKEN"] = "your_appbuilder_token"

my_knowledge_base_id = "your_knowledge_base_id"
my_knowledge = appbuilder.KnowledgeBase(my_knowledge_base_id)
print("知识库ID: ", my_knowledge.knowledge_id)
resp = my_knowledge.describe_chunks("your_document_id")
print("切片列表：")
print(resp)

Java基本用法

方法及各方法入参/出参

参考 python KnowledgeBase接口文档

示例代码

public class KnowledgebaseTest {
    @Before
    public void setUp() {
        System.setProperty("APPBUILDER_TOKEN","");
        System.setProperty("APPBUILDER_LOGLEVEL", "DEBUG");
    }
    
    @Test
    public void testAddDocument() throws IOException, AppBuilderServerException {
        // 实例化Knowledgebase
        String knowledgeBaseId  = "";
        Knowledgebase knowledgebase = new Knowledgebase();

        // 获取知识库文档列表
        DocumentListRequest listRequest = new DocumentListRequest(); 
        listRequest.setKonwledgeBaseId(knowledgeBaseId);
        listRequest.setLimit(10);
        Document[] documents = knowledgebase.getDocumentList(listRequest);

        // 向知识库上传通用文档
        String fileId = knowledgebase.uploadFile("src/test/java/com/baidubce/appbuilder/files/test.pdf");
        System.out.println(fileId);
        
        // 向知识库添加文档
        DocumentAddRequest request = new DocumentAddRequest();
        request.setKnowledgeBaseId(knowledgeBaseId);
        request.setContentType("raw_text");
        request.setFileIds(new String[] { fileId });
        DocumentAddRequest.CustomProcessRule customProcessRule = new DocumentAddRequest.CustomProcessRule();
        customProcessRule.setSeparators(new String[] { "。" });
        customProcessRule.setTargetLength(300);
        customProcessRule.setOverlapRate(0.25);
        request.setCustomProcessRule(customProcessRule);
        String[] documentsRes = knowledgebase.addDocument(request);
        assertNotNull(documentsRes);

        // 从知识库删除文档
        DocumentDeleteRequest deleteRequest = new DocumentDeleteRequest();
        deleteRequest.setKonwledgeBaseId(knowledgeBaseId);
        deleteRequest.setDocumentId(documentsRes[0]);
        knowledgebase.deleteDocument(deleteRequest);
    }
  
    @Test
    public void testCreateKnowledgebase() throws IOException, AppBuilderServerException {
        Knowledgebase knowledgebase = new Knowledgebase();
        KnowledgeBaseDetail request = new KnowledgeBaseDetail();
        request.setName("test_knowledgebase");
        request.setDescription("test_knowledgebase");

        // 创建知识库
        KnowledgeBaseConfig.Index index = new KnowledgeBaseConfig.Index("public",
                "http://localhost:9200", "elastic", "changeme");
        KnowledgeBaseConfig config = new KnowledgeBaseConfig(index);
        request.setConfig(config);
        KnowledgeBaseDetail response = knowledgebase.createKnowledgeBase(request);
        String knowledgeBaseId = response.getId();
        System.out.println(knowledgeBaseId);
        assertNotNull(response.getId());

        // 获取知识库详情
        KnowledgeBaseDetail detail = knowledgebase.getKnowledgeBaseDetail(knowledgeBaseId);
        System.out.println(detail.getId());
        assertNotNull(detail.getId());

        // 获取知识库列表
        KnowledgeBaseListRequest listRequest =
                new KnowledgeBaseListRequest(knowledgeBaseId, 10, null);
        KnowledgeBaseListResponse knowledgeBases = knowledgebase.getKnowledgeBaseList(listRequest);
        System.out.println(knowledgeBases.getMarker());
        assertNotNull(knowledgeBases.getMarker());

        // 更新知识库
        KnowledgeBaseModifyRequest modifyRequest = new KnowledgeBaseModifyRequest();
        modifyRequest.setKnowledgeBaseId(knowledgeBaseId);
        modifyRequest.setName("test_knowledgebase2");
        modifyRequest.setDescription(knowledgeBaseId);
        knowledgebase.modifyKnowledgeBase(modifyRequest);

        // 导入知识库
        DocumentsCreateRequest.Source source = new DocumentsCreateRequest.Source("web",
                new String[] {"https://baijiahao.baidu.com/s?id=1802527379394162441"}, 1);
        DocumentsCreateRequest.ProcessOption.Parser parser =
                new DocumentsCreateRequest.ProcessOption.Parser(
                        new String[] {"layoutAnalysis", "ocr"});
        DocumentsCreateRequest.ProcessOption.Chunker.Separator separator =
                new DocumentsCreateRequest.ProcessOption.Chunker.Separator(new String[] {"。"}, 300,
                        0.25);
        DocumentsCreateRequest.ProcessOption.Chunker chunker =
                new DocumentsCreateRequest.ProcessOption.Chunker(new String[] {"separator"},
                        separator, null, new String[] {"title", "filename"});
        DocumentsCreateRequest.ProcessOption.KnowledgeAugmentation knowledgeAugmentation =
                new DocumentsCreateRequest.ProcessOption.KnowledgeAugmentation(
                        new String[] {"faq"});
        DocumentsCreateRequest.ProcessOption processOption =
                new DocumentsCreateRequest.ProcessOption("custom", parser, chunker,
                        knowledgeAugmentation);
        DocumentsCreateRequest documentsCreateRequest =
                new DocumentsCreateRequest(knowledgeBaseId, "rawText", source, processOption);
        knowledgebase.createDocuments(documentsCreateRequest);

        // 上传文档
        String filePath = "src/test/java/com/baidubce/appbuilder/files/test.pdf";
        DocumentsCreateRequest.Source source2 =
                new DocumentsCreateRequest.Source("file", null, null);
        DocumentsCreateRequest documentsCreateRequest2 =
                new DocumentsCreateRequest(knowledgeBaseId, "rawText", source2, processOption);
        knowledgebase.uploadDocuments(filePath, documentsCreateRequest2);

        // 删除知识库
        knowledgebase.deleteKnowledgeBase(knowledgeBaseId);
    }
  
    @Test
    public void testCreateChunk() throws IOException, AppBuilderServerException {
        String documentId = "";
        Knowledgebase knowledgebase = new Knowledgebase();
        // 创建切片
        String chunkId = knowledgebase.createChunk(documentId, "test");
        // 修改切片
        knowledgebase.modifyChunk(chunkId, "new test", true);
        // 获取切片详情
        knowledgebase.describeChunk(chunkId);
        // 获取切片列表
        knowledgebase.describeChunks(documentId, chunkId, 10, null);
        // 删除切片
        knowledgebase.deleteChunk(chunkId);
    }
}

Go基本用法

方法及各方法入参/出参

参考 python KnowledgeBase接口文档

示例代码

package appbuilder

import (
	"fmt"
	"os"
	"testing"
)

func TestKnowledgeBase(t *testing.T) {
	os.Setenv("APPBUILDER_LOGLEVEL", "DEBUG")
	os.Setenv("APPBUILDER_LOGFILE", "")

    // 实例化KnowledgeBase
	knowledgeBaseID := ""
	config, err := NewSDKConfig("", "")
	if err != nil {
		t.Fatalf("new http client config failed: %v", err)
	}

	client, err := NewKnowledgeBase(config)
	if err != nil {
		t.Fatalf("new Knowledge base instance failed")
	}

    // 获取知识库中的文档列表
	documentsRes, err := client.GetDocumentList(GetDocumentListRequest{
		KnowledgeBaseID: knowledgeBaseID,
	})
	if err != nil {
		t.Fatalf("create document failed: %v", err)
	}
	fmt.Println(documentsRes)

    // 向知识库中上传通用文件
	fileID, err := client.UploadFile("./files/test.pdf")
	if err != nil {
		t.Fatalf("upload file failed: %v", err)
	}
	fmt.Println(fileID)

    // 向知识库中添加文档
	createDocumentRes, err := client.CreateDocument(CreateDocumentRequest{
		KnowledgeBaseID: knowledgeBaseID,
		ContentType:     ContentTypeRawText,
		FileIDS:         []string{fileID},
		CustomProcessRule: &CustomProcessRule{
			Separators:   []string{"。"},
			TargetLength: 300,
			OverlapRate:  0.25,
		},
	})
	if err != nil {
		t.Fatalf("create document failed: %v", err)
	}
	fmt.Println(createDocumentRes)

    // 从知识库中删除文档
	err = client.DeleteDocument(DeleteDocumentRequest{
		KnowledgeBaseID: knowledgeBaseID,
		DocumentID:      createDocumentRes.DocumentsIDS[0]})
	if err != nil {
		t.Fatalf("delete document failed: %v", err)
	}
}

func TestCreateKnowledgeBase(t *testing.T) {
	os.Setenv("APPBUILDER_LOGLEVEL", "DEBUG")
	os.Setenv("APPBUILDER_TOKEN", "")
	config, err := NewSDKConfig("", "")
	if err != nil {
		t.Fatalf("new http client config failed: %v", err)
	}

	client, err := NewKnowledgeBase(config)
	if err != nil {
		t.Fatalf("new Knowledge base instance failed")
	}

	// 创建知识库
	createKnowledgeBaseRes, err := client.CreateKnowledgeBase(KnowledgeBaseDetail{
		Name:        "test-go",
		Description: "test-go",
		Config: &KnowlegeBaseConfig{
			Index: KnowledgeBaseConfigIndex{
				Type:     "public",
				EsUrl:    "http://localhost:9200",
				Password: "elastic",
				Username: "elastic",
			},
		},
	})
	if err != nil {
		t.Fatalf("create knowledge base failed: %v", err)
	}
	knowledgeBaseID := createKnowledgeBaseRes.ID
	fmt.Println(knowledgeBaseID)

	// 获取知识库详情
	getKnowledgeBaseRes, err := client.GetKnowledgeBaseDetail(knowledgeBaseID)
	if err != nil {
		t.Fatalf("get knowledge base failed: %v", err)
	}
	fmt.Println(getKnowledgeBaseRes)

	// 获取知识库列表
	knowledgeBaseListRes, err := client.GetKnowledgeBaseList(
		GetKnowledgeBaseListRequest{
			Marker: knowledgeBaseID,
		},
	)
	if err != nil {
		t.Fatalf("get knowledge base list failed: %v", err)
	}
	fmt.Println(knowledgeBaseListRes)

	// 导入知识库
	err = client.CreateDocuments(CreateDocumentsRequest{
		ID:            knowledgeBaseID,
		ContentFormat: "rawText",
		Source: DocumentsSource{
			Type:     "web",
			Urls:     []string{"https://baijiahao.baidu.com/s?id=1802527379394162441"},
			UrlDepth: 1,
		},
		ProcessOption: &DocumentsProcessOption{
			Template: "custom",
			Parser: &DocumentsProcessOptionParser{
				Choices: []string{"layoutAnalysis", "ocr"},
			},
			Chunker: &DocumentsProcessOptionChunker{
				Choices: []string{"separator"},
				Separator: &DocumentsProcessOptionChunkerSeparator{
					Separators:   []string{"。"},
					TargetLength: 300,
					OverlapRate:  0.25,
				},
				PrependInfo: []string{"title", "filename"},
			},
			KnowledgeAugmentation: &DocumentsProcessOptionKnowledgeAugmentation{
				Choices: []string{"faq"},
			},
		},
	})
	if err != nil {
		t.Fatalf("create documents failed: %v", err)
	}

	// 上传知识库文档
	err = client.UploadDocuments("./files/test.pdf", CreateDocumentsRequest{
		ID:            knowledgeBaseID,
		ContentFormat: "rawText",
		Source: DocumentsSource{
			Type: "file",
		},
		ProcessOption: &DocumentsProcessOption{
			Template: "custom",
			Parser: &DocumentsProcessOptionParser{
				Choices: []string{"layoutAnalysis", "ocr"},
			},
			Chunker: &DocumentsProcessOptionChunker{
				Choices: []string{"separator"},
				Separator: &DocumentsProcessOptionChunkerSeparator{
					Separators:   []string{"。"},
					TargetLength: 300,
					OverlapRate:  0.25,
				},
				PrependInfo: []string{"title", "filename"},
			},
			KnowledgeAugmentation: &DocumentsProcessOptionKnowledgeAugmentation{
				Choices: []string{"faq"},
			},
		},
	})
	if err != nil {
		t.Fatalf("upload documents failed: %v", err)
	}

	// 修改知识库
	name := "test-go"
	description := "22"
	err = client.ModifyKnowledgeBase(ModifyKnowlegeBaseRequest{
		ID:          knowledgeBaseID,
		Name:        &name,
		Description: &description,
	})
	if err != nil {
		t.Fatalf("modify knowledge base failed: %v", err)
	}

	// 删除知识库
	err = client.DeleteKnowledgeBase(knowledgeBaseID)
	if err != nil {
		t.Fatalf("delete knowledge base failed: %v", err)
	}
}

func TestChunk(t *testing.T) {
	os.Setenv("APPBUILDER_LOGLEVEL", "DEBUG")
	os.Setenv("APPBUILDER_TOKEN", "")
	documentID := ""

	config, err := NewSDKConfig("", "")
	if err != nil {
		t.Fatalf("new http client config failed: %v", err)
	}

	client, err := NewKnowledgeBase(config)
	if err != nil {
		t.Fatalf("new Knowledge base instance failed")
	}
	// 创建切片
	chunkID, err := client.CreateChunk(CreateChunkRequest{
		DocumentID: documentID,
		Content:    "test",
	})
	if err != nil {
		t.Fatalf("create chunk failed: %v", err)
	}
	fmt.Println(chunkID)

	// 修改切片
	err = client.ModifyChunk(ModifyChunkRequest{
		ChunkID: chunkID,
		Content: "new test",
		Enable:  true,
	})
	if err != nil {
		t.Fatalf("modify chunk failed: %v", err)
	}

	// 获取切片详情
	describeChunkRes, err := client.DescribeChunk(chunkID)
	if err != nil {
		t.Fatalf("describe chunk failed: %v", err)
	}
	fmt.Println(describeChunkRes)

	// 获取切片列表
	describeChunksRes, err := client.DescribeChunks(DescribeChunksRequest{
		DocumnetID: documentID,
		Marker:     chunkID,
		MaxKeys:    10,
	})
	if err != nil {
		t.Fatalf("describe chunks failed: %v", err)
	}
	fmt.Println(describeChunksRes)

	// 删除切片
	err = client.DeleteChunk(chunkID)
	if err != nil {
		t.Fatalf("delete chunk failed: %v", err)
	}
}

应用

声音&形象

知识库

知识库组件（KnowledgeBase）

简介

功能介绍

特色优势

应用场景

Python基本用法

1、新建知识库

方法参数

方法返回值

方法示例

2、实例化已创建的知识库

方法参数

方法返回值

方法示例

3、获取知识库详情

方法参数

方法返回值

方法示例

4、 获取知识库列表

方法参数

方法返回值

方法示例：

5、修改知识库

方法参数

方法示例

6、 删除知识库

方法参数

7、 导入知识库

方法参数

方法示例

8、 上传文档到知识库

方法参数

方法示例

9、上传通用文档

方法参数

方法返回值

方法示例

10、向知识库添加文档

方法参数

方法返回值

方法示例

11、从知识库删除文档

方法参数

方法返回值

方法示例

12、获取知识库的文档列表

方法参数

方法返回值

方法示例

13、获取知识库全部文档

方法参数

方法返回值

方法示例

14. 创建切片

方法参数

方法返回值

方法示例

15. 修改切片信息

方法参数

方法示例

16. 删除切片

方法参数

方法示例

17. 获取切片信息

方法参数

方法返回值

方法示例

18. 获取切片列表

方法参数

方法返回值

方法示例

Java基本用法

方法及各方法入参/出参

示例代码

Go基本用法

方法及各方法入参/出参

示例代码

4、获取知识库列表

6、删除知识库

7、导入知识库

8、上传文档到知识库