阅读对象：本文章适用于对Deepseek本地化部署知识感兴趣的同志，需要有入门级的网络基础，软件架构基础知识即可。

前言：

本篇文章在《玩转 Deepseek ——第一篇、本地化部(Windows+Ollama+Docker+OpenWebUI)》之上，对知识库的部署及使用方式讲解，建议请先阅读上一篇：玩转 Deepseek ——第一篇、本地化部署(Windows+Ollama+Docker+OpenWebUI)

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目录

一、本地客户端部署Deepseek知识库：

1.1适用场景：

1.2优势分析：

1.3示意图：

1.4部署步骤：

二、OpenUI服务器端部署Deepseek知识库：

2.1适用场景：

2.2优势分析：

2.3架构图：

2.4部署步骤：

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一、本地客户端部署Deepseek知识库：

1.1适用场景：

      举例：公司内部搭建，用于处理招投标，涉密文档编写等工作，提高员工效率。等其他需要独立知识库的场景。

        

1.2优势分析：

        个人知识库隐私保密强，仅调用模型能力处理，个人知识库不外泄。

1.3示意图：

1.4部署步骤：

下载网址：客户端下载 | CherryStudio

1.关闭硅基流动

2.选择Ollama打开并输入对应API地址

3.点击【知识库】--》添加文件

4.例：

返回对话框，点亮知识库，选择相应的库

提出问题，查看回复结果

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二、OpenUI服务器端部署Deepseek知识库：

2.1适用场景：

        举例：公司/单位内 多部门共用同一套系统，可实现多角色多分组管理功能，共享共有知识库、同分组知识库内容等；云SaaS服务商提供多租户模式等。

2.2优势分析：

        知识库上传至服务上统一管理，可进行权限管理等，灵活性高。协同搭建知识库等。

2.3示意图：

2.4部署步骤：

OpenUI部署详见：

OpenUI部署详见：玩转 Deepseek ——第一篇、本地化部署(Windows+Ollama+Docker+OpenWebUI)

登录到OpenUI 界面：

优化（针对打开web界面出现“IO”后加载延时问题优化步骤）：

创建工具：(默认即可)

import os
import requests
from datetime import datetime


class Tools:
    def __init__(self):
        pass

    # Add your custom tools using pure Python code here, make sure to add type hints
    # Use Sphinx-style docstrings to document your tools, they will be used for generating tools specifications
    # Please refer to function_calling_filter_pipeline.py file from pipelines project for an example

    def get_user_name_and_email_and_id(self, __user__: dict = {}) -> str:
        """
        Get the user name, Email and ID from the user object.
        """

        # Do not include :param for __user__ in the docstring as it should not be shown in the tool's specification
        # The session user object will be passed as a parameter when the function is called

        print(__user__)
        result = ""

        if "name" in __user__:
            result += f"User: {__user__['name']}"
        if "id" in __user__:
            result += f" (ID: {__user__['id']})"
        if "email" in __user__:
            result += f" (Email: {__user__['email']})"

        if result == "":
            result = "User: Unknown"

        return result

    def get_current_time(self) -> str:
        """
        Get the current time in a more human-readable format.
        :return: The current time.
        """

        now = datetime.now()
        current_time = now.strftime("%I:%M:%S %p")  # Using 12-hour format with AM/PM
        current_date = now.strftime(
            "%A, %B %d, %Y"
        )  # Full weekday, month name, day, and year

        return f"Current Date and Time = {current_date}, {current_time}"

    def calculator(self, equation: str) -> str:
        """
        Calculate the result of an equation.
        :param equation: The equation to calculate.
        """

        # Avoid using eval in production code
        # https://nedbatchelder.com/blog/201206/eval_really_is_dangerous.html
        try:
            result = eval(equation)
            return f"{equation} = {result}"
        except Exception as e:
            print(e)
            return "Invalid equation"

    def get_current_weather(self, city: str) -> str:
        """
        Get the current weather for a given city.
        :param city: The name of the city to get the weather for.
        :return: The current weather information or an error message.
        """
        api_key = os.getenv("OPENWEATHER_API_KEY")
        if not api_key:
            return (
                "API key is not set in the environment variable 'OPENWEATHER_API_KEY'."
            )

        base_url = "http://api.openweathermap.org/data/2.5/weather"
        params = {
            "q": city,
            "appid": api_key,
            "units": "metric",  # Optional: Use 'imperial' for Fahrenheit
        }

        try:
            response = requests.get(base_url, params=params)
            response.raise_for_status()  # Raise HTTPError for bad responses (4xx and 5xx)
            data = response.json()

            if data.get("cod") != 200:
                return f"Error fetching weather data: {data.get('message')}"

            weather_description = data["weather"][0]["description"]
            temperature = data["main"]["temp"]
            humidity = data["main"]["humidity"]
            wind_speed = data["wind"]["speed"]

            return f"Weather in {city}: {temperature}°C"
        except requests.RequestException as e:
            return f"Error fetching weather data: {str(e)}"

创建账号角色（多角色管理）：

创建分组及角色绑定（分组管理）：

创建知识库（知识库管理）：

创建模型

角色权限验证：