低代码快速构建RAG应用_大模型服务平台百炼(BAILIAN)-阿里云帮助中心

功能介绍

本文主要介绍如何基于阿里云百炼的应用中心快速创建RAG应用，并通过API/SDK低代码方式调用RAG应用进行文档问答的最佳实践。

创建应用

Step 1：数据管理-导入数据

在数据中心，选择“默认类目”后，点击“导入数据”，然后通过“本地上传”的方式导入数据。导入数据需要花费一定的时间，需要耐心等待数据转为“导入完成”的状态（通过手动点击刷新按钮）。

Step 2：创建知识索引

1）在数据应用-知识索引页面，创建知识库，输入知识库描述，选择推荐配置即可。

2）点击下一步，从数据中心选择相关文件，选择导入完成，进行文档切分、构建索引等后续操作。

注：导入数据后，需要耐心等待知识库中的数据转为“解析完成”状态，才能在后续的文档问答过程中被检索到。

3) 获取知识索引ID，支持与百炼Assistant API结合使用，支持RAG和插件的组合调用；

Step 3：创建应用

进入我的应用后，点击新增应用。然后在应用配置中，进行以下几步操作：

选择模型。目前仅支持qwen-max模型，后续将支持更多的模型。同时，也可以支持设置模型内容生成的相关参数，如temperature等。
开启“知识检索增强”。
选择知识库，即在Step2中创建的知识索引。
点击“保存并发布”按钮。

应用发布后，即可在后侧的窗口进行效果测试。

调用应用

前提条件

已创建API-KEY:获取API-KEY。
已获取到APP_ID：获取APP-ID和WORKSPACE。
已安装最新版SDK：安装SDK。
已创建应用：应用中心，并获取到APP_ID：获取APP-ID和WORKSPACE。

通过API/SDK调用应用

说明

需要使用您的API-KEY替换示例中的YOUR_API_KEY，并将APP-ID替换示例中的YOUR_APP_ID，代码才能正常运行。

Python

from http import HTTPStatus
from dashscope import Application


def call_agent_app():
    response = Application.call(app_id='YOUR_APP_ID',
                                prompt='百炼的业务空间是什么？如何使用业务空间?',
                                api_key='YOUR_API_KEY',
                                )

    if response.status_code != HTTPStatus.OK:
        print('request_id=%s, code=%s, message=%s\n' % (response.request_id, response.status_code, response.message))
    else:
        print('request_id=%s\n output=%s\n usage=%s\n' % (response.request_id, response.output, response.usage))


if __name__ == '__main__':
    call_agent_app()

Java

import com.alibaba.dashscope.app.*;
import com.alibaba.dashscope.exception.ApiException;
import com.alibaba.dashscope.exception.InputRequiredException;
import com.alibaba.dashscope.exception.NoApiKeyException;
import java.util.List;


public class Main{
      public static void callAgentApp()
            throws ApiException, NoApiKeyException, InputRequiredException {
        ApplicationParam param = ApplicationParam.builder()
            .apiKey("YOUR_API_KEY")
                .appId("YOUR_APP_ID")
                .prompt("百炼的业务空间是什么？如何使用业务空间?")
                .build();

        Application application = new Application();
        ApplicationResult result = application.call(param);

        System.out.printf("requestId: %s, text: %s, finishReason: %s\n",
                result.getRequestId(), result.getOutput().getText(), result.getOutput().getFinishReason());
    }

    public static void main(String[] args) {
        try {
            callAgentApp();
        } catch (ApiException | NoApiKeyException | InputRequiredException e) {
            System.out.printf("Exception: %s", e.getMessage());
        }
        System.exit(0);
    }  
}

Bash(sh)

curl --location 'https://dashscope.aliyuncs.com/api/v1/apps/{YOUR_APP_ID}/completion' \
--header 'Authorization: Bearer {YOUR_API_KEY}' \
--header 'Content-Type: application/json' \
--data '{
    "input": {
        "prompt": "百炼的业务空间是什么？如何使用业务空间?"
    },
    "parameters":  {},
    "debug": {}
}' --verbose

通过Assistant API调用

设置您的API-KEY，替换YOUR_DASHCOPE_API_KEY为您自己的API key。
替换YOUR_PIPELINE_ID为百炼知识库创建的知识索引ID，具体参考Step 2：创建知识索引第三小节内容。
- 其中${document1}为占位符，知识库检索回来的内容会替换instructions中${document1}，请确保rag工具中定义query_word/value的占位符与instructions中占位符一致。

export DASHSCOPE_API_KEY=YOUR_DASHSCOPE_API_KEY

Python

from dashscope import Assistants, Messages, Runs, Threads

assistant = Assistants.create(
    model='qwen-max',
    name='smart helper',
    description='智能助手，支持知识库查询和插件调用。',
    instructions='你是一个智能助手，请记住以下信息。${document1}',
    tools=[
        {
            "type": "code_interpreter"
        },
        {
            "type": "rag",
            "prompt_ra": {
                "pipeline_id": "YOUR_PIPELINE_ID",
                "parameters": {
                    "type": "object",
                    "properties": {
                        "query_word": {
                            "type": "str",
                            "value": "${document1}"
                        }

                    }
                }
            }
        }]
)


def send_message(assistant, message='百炼是什么？'):
    print(f"Query: {message}")

    # create thread.
    # create a thread.
    thread = Threads.create()

    print(thread)

    # create a message.
    message = Messages.create(thread.id, content=message)
    # create run

    run = Runs.create(thread.id, assistant_id=assistant.id)
    print(run)

    # # get run statue
    # run_status = Runs.get(run.id, thread_id=thread.id)
    # print(run_status)

    # wait for run completed or requires_action
    run_status = Runs.wait(run.id, thread_id=thread.id)
    # print(run_status)

    # if prompt input tool result, submit tool result.

    run_status = Runs.get(run.id, thread_id=thread.id)
    print(run_status)
    # verify_status_code(run_status)

    # get the thread messages.
    msgs = Messages.list(thread.id)
    # print(msgs)
    # print(json.dumps(msgs, default=lambda o: o.__dict__, sort_keys=True, indent=4))

    print("运行结果:")
    for message in msgs['data'][::-1]:
        print("content: ", message['content'][0]['text']['value'])
    print("\n")


if __name__ == "__main__":
    send_message(assistant, message='百炼是什么?')

Java

import com.alibaba.dashscope.assistants.Assistant;
import com.alibaba.dashscope.assistants.AssistantParam;
import com.alibaba.dashscope.assistants.Assistants;
import com.alibaba.dashscope.common.GeneralListParam;
import com.alibaba.dashscope.common.ListResult;
import com.alibaba.dashscope.exception.ApiException;
import com.alibaba.dashscope.exception.InputRequiredException;
import com.alibaba.dashscope.exception.InvalidateParameter;
import com.alibaba.dashscope.exception.NoApiKeyException;
import com.alibaba.dashscope.threads.AssistantThread;
import com.alibaba.dashscope.threads.ContentText;
import com.alibaba.dashscope.threads.ThreadParam;
import com.alibaba.dashscope.threads.Threads;
import com.alibaba.dashscope.threads.messages.Messages;
import com.alibaba.dashscope.threads.messages.TextMessageParam;
import com.alibaba.dashscope.threads.messages.ThreadMessage;
import com.alibaba.dashscope.threads.runs.Run;
import com.alibaba.dashscope.threads.runs.RunParam;
import com.alibaba.dashscope.threads.runs.Runs;
import com.alibaba.dashscope.tools.ToolBase;
import com.google.gson.JsonObject;
import com.google.gson.annotations.SerializedName;
import lombok.Builder;
import lombok.Data;
import lombok.EqualsAndHashCode;
import lombok.experimental.SuperBuilder;


public class AssistantApiRag {
    public static Assistant createAssistant(String pipelineId) throws ApiException, NoApiKeyException {
        //注意instructions的${document1}占位符和buildPromptRa的${document1}占位符必须保持一致
        AssistantParam assistantParam = AssistantParam.builder()
                .model("qwen-max") 
                .name("smart helper")
                .description("智能助手，支持知识库查询和插件调用。")
                .instructions("你是一个智能助手，请记住以下信息。${document1}")
                .tool(ToolRag.builder()
                        .promptRa(ToolRag.buildPromptRa("${document1}", pipelineId))
                        .build())
                .build();
        Assistants assistants = new Assistants();
        return assistants.create(assistantParam);
    }

    public static void sendMessage(Assistant assistant, String message) throws NoApiKeyException, InputRequiredException, InvalidateParameter, InterruptedException {
        Threads threads = new Threads();
        AssistantThread assistantThread = threads.create(ThreadParam.builder().build());

        Runs runs = new Runs();
        // create a new message
        TextMessageParam textMessageParam = TextMessageParam.builder()
                .role("user")
                .content(message)
                .build();
        Messages messages = new Messages();
        ThreadMessage threadMessage = messages.create(assistantThread.getId(), textMessageParam);
        System.out.println(threadMessage);

        RunParam runParam = RunParam.builder().assistantId(assistant.getId()).build();
        Run run = runs.create(assistantThread.getId(), runParam);
        while (true) {
            if (run.getStatus().equals(Run.Status.CANCELLED) ||
                    run.getStatus().equals(Run.Status.COMPLETED) ||
                    run.getStatus().equals(Run.Status.FAILED) ||
                    run.getStatus().equals(Run.Status.REQUIRES_ACTION) ||
                    run.getStatus().equals(Run.Status.EXPIRED)) {
                break;
            } else {
                Thread.sleep(1000);
            }
            run = runs.retrieve(assistantThread.getId(), run.getId());
        }

        System.out.println(run);

        GeneralListParam listParam = GeneralListParam.builder().limit(100L).build();
        ListResult<ThreadMessage> threadMessages = messages.list(assistantThread.getId(), listParam);
        for (ThreadMessage threadMessage2 : threadMessages.getData()) {
            System.out.printf("content: %s\n", ((ContentText) threadMessage2.getContent().get(0)).getText().getValue());
        }
    }

    public static void main(String[] args) throws NoApiKeyException, InputRequiredException, InvalidateParameter, InterruptedException {
        String pipelineId = "wa9vj93fwv";
        Assistant assistant = createAssistant(pipelineId);
        sendMessage(assistant, "百炼是什么?");
    }
}

@Data
@EqualsAndHashCode(callSuper = false)
@SuperBuilder
class ToolRag extends ToolBase {
    static {
        registerTool("rag", ToolRag.class);
    }

    @Builder.Default
    private String type = "rag";

    @SerializedName("prompt_ra")
    private JsonObject promptRa;

    @Override
    public String getType() {
        return type;
    }

    public static JsonObject buildPromptRa(String placeholder, String pipelineId) {
        JsonObject queryWord = new JsonObject();
        queryWord.addProperty("type", "str");
        queryWord.addProperty("value", placeholder);

        JsonObject properties = new JsonObject();
        properties.add("query_word", queryWord);

        JsonObject parameters = new JsonObject();
        parameters.addProperty("type", "object");
        parameters.add("properties", properties);

        JsonObject jsonObject = new JsonObject();
        jsonObject.addProperty("pipeline_id", pipelineId);
        jsonObject.add("parameters", parameters);

        return jsonObject;
    }
}