Windows安装ollama和AnythingLLM

下载安装包

下载上面的安装包ollama&AnythingLLM.zip 解压如下

安装ollama

双击OllamaSetup.exe安装即可，安装完成后再命令行查看

ollama --version

 即安装成功

运行模型

常用的模型如下

我们选择常用的llama2 

ollama run llama2

安装好了之后便可以直接提问

查看端口供外部访问

ollama show --help

http://localhost:11434

 

安装AnythingLLM 

运行AnythingLLMDesktop.exe即可

打开如下

新建工作区

 

配置模型

 

开始访问

 

自定义文本库

 

编辑一个txt，内容如下

 

上传该文档

 

 springai

依赖

<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
         xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 https://maven.apache.org/xsd/maven-4.0.0.xsd">
    <modelVersion>4.0.0</modelVersion>
    <parent>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter-parent</artifactId>
        <version>3.2.5</version>
        <relativePath/> <!-- lookup parent from repository -->
    </parent>
    <groupId>com.cyz</groupId>
    <artifactId>springai</artifactId>
    <version>0.0.1-SNAPSHOT</version>
    <name>springai</name>
    <description>springai</description>

    <properties>
        <java.version>17</java.version>
        <spring-ai.version>0.8.1</spring-ai.version>
    </properties>
    <dependencies>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-web</artifactId>
        </dependency>
        <dependency>
            <groupId>org.springframework.ai</groupId>
            <artifactId>spring-ai-ollama-spring-boot-starter</artifactId>
        </dependency>

        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-test</artifactId>
            <scope>test</scope>
        </dependency>
    </dependencies>
    <dependencyManagement>
        <dependencies>
            <dependency>
                <groupId>org.springframework.ai</groupId>
                <artifactId>spring-ai-bom</artifactId>
                <version>${spring-ai.version}</version>
                <type>pom</type>
                <scope>import</scope>
            </dependency>
        </dependencies>
    </dependencyManagement>

    <build>
        <plugins>
            <plugin>
                <groupId>org.springframework.boot</groupId>
                <artifactId>spring-boot-maven-plugin</artifactId>
            </plugin>
        </plugins>
    </build>
    <repositories>
        <repository>
            <id>spring-milestones</id>
            <name>Spring Milestones</name>
            <url>https://repo.spring.io/milestone</url>
            <snapshots>
                <enabled>false</enabled>
            </snapshots>
        </repository>
    </repositories>

</project>

配置

server.port=8080
spring.application.name=springai
# ollama 服务地址
spring.ai.ollama.base-url=http://127.0.0.1:11434
#模型要写，这边用的是 llama2
spring.ai.ollama.chat.model=llama2

 启动类

package com.cyz.springai;

import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;

@SpringBootApplication
public class SpringaiApplication {

    public static void main(String[] args) {
        SpringApplication.run(SpringaiApplication.class, args);
    }

}

测试类

package com.cyz.springai;

import org.springframework.ai.ollama.OllamaChatClient;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;
import reactor.core.publisher.Flux;

/**
 * @author cyz
 * @since 2024/9/11 下午12:00
 */
@RestController
public class OllamaController {
    @Autowired
    OllamaChatClient ollamaChatClient;

    /**
     * 简单问答，直接放回回答的内容
     */
    @RequestMapping("/chat")
    public String chat(String prompt) {
        return ollamaChatClient.call(prompt);
    }

    /**
     * 流式问答，类似于对话框，每次返回一个回答
     */
    @RequestMapping("/chat_stream")
    public Flux<String> chat_stream(String prompt) {
        return ollamaChatClient.stream(prompt);
    }

}

测试