130 lines
2.3 KiB
Plaintext
130 lines
2.3 KiB
Plaintext
Metadata-Version: 2.4
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Name: rag
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Version: 0.0.1
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Summary: rag
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Home-page: https://github.com/yumoqing/rag
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Author: yumoqing
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Author-email: yumoqing@gmail.com
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Platform: any
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Classifier: Operating System :: OS Independent
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Classifier: Programming Language :: Python :: 3
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Classifier: License :: OSI Approved :: MIT License
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Description-Content-Type: text/markdown
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Requires-Dist: chromadb
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Requires-Dist: langchain
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Requires-Dist: langchain_community
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Requires-Dist: unstructured
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Requires-Dist: langchain-text-splitters
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Requires-Dist: unstructured[all-docs]
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Requires-Dist: langchain_milvus
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Requires-Dist: langchain_huggingface
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Requires-Dist: transformers
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Requires-Dist: openai
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Requires-Dist: torch
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Requires-Dist: torchvision
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Requires-Dist: pymilvus
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Dynamic: author
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Dynamic: author-email
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Dynamic: classifier
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Dynamic: description
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Dynamic: description-content-type
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Dynamic: home-page
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Dynamic: platform
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Dynamic: requires-dist
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Dynamic: summary
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# 知识库服务器
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本系统为不同的客户提供自我管理的知识库，并在知识库基础上提供知识检索
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本系统提供API形式，为注册的服务器提供知识服支持，不面向最终客户
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## 依赖
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依赖[这些模块](requirements.txt)
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## 安装部署
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1. 创建rag用户
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2. 登录rag用户
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3. 执行以下命令
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```
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git clone git@git.kaiyuancloud.cn:yumoqing/rag
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cd rag/script
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./install.sh
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```
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将项目在用户根目录checkout
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3.
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## 功能
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管理client系统的客户知识库，并提供知识查询
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每个客户可以创建一到多个独立的知识库，为不同的业务场景提供知识库知识
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知识库之间数据相互独立，互不干扰。
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## http API
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### add
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增加知识库文档
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#### path
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/api/add
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#### method
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POST
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#### 输入
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name: authentication
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value: Bears ${apikey}
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score: headers
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name: file_name
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value: path of uploaded file
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score: data
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name: userid
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value: userid of client system
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score: data
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name: kdbname
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value: rag kdb name
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score: data
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#### 输出
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### query
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查询知识库
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#### path
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/api/query
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#### method
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POST
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#### 输入
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name: authentication
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value: Bears ${apikey}
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score: headers
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name: prompt
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value: ${prompt}
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score: data
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name: userid
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value: ${userid}
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score: data
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name: kdbname
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value: ${kdbname}
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score: data
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#### 输出
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```
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{
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total:返回记录条数,
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rows：返回记录内容
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}
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rows有以下属性
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content：文本内容
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distances：距离
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source：文档path
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```
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