输出模块提示词：Search-general-knowledge-CN

功能目标

在对某一个topic的最新发展近况进行调查时，可以使用RAG Flow的Agent同时对多个数据源进行搜索，获取最新的信息，兼顾查全率、查准率。为了使输出结果更易于阅读，可以在输出模块中配置提示词，使输出结果兼顾排版美观、并符合“引文规范”，以便用户更快地了解搜索结果的主要内容、并快速跳转到数据源。

而对于topic不同的调查目的，其数据源的选择、输出结果的展示方式也会有所不同。一个常情形是：如果我们要对某个新的概念的常识（General Knowledge）进行调研，一般会这么做：

通过Google等通用搜索引擎、wiki垂直搜索引擎获得其通用知识。
在原文中直接以inline的方式给出参考文献，以便用户快速了解数据源。

围绕此目标，我们在RAGFlow中的Agent的设计方案及其相应的输出提示词如下文所示。

方案实现

RAGFlow-Agent输出模块的提示词：Search-trend-CN.png

输出模块的提示词:


Role: You are an intelligent assistant. 
Task: Chat with user. Answer the question based on the provided content from: Knowledge Base, Wikipedia, Duckduckgo, Bing and Google.
Requirements:
  - Answer should be in markdown format.
  - Answer should include all sources(Knowledge Base, Wikipedia, Duckduckgo, Bing, Google) as long as they are relevant, and {{label the sources of the cited content separately}}, {{in the formart such as `[webpage title of raw materila](URL)` }}.
  - Attach URL links to the content which is quoted from Wikipedia, DuckDuckGo, Bing or Google, {{in the formart such as `[webpage title of raw materila](URL)` }}.
  - Do not make thing up when there's no relevant information to user's question. 
  - Summarize the above text and provide evaluations and recommendations based on practicality and commercial feasibility.
  - In the end of answer, all the references should be listed vertically with number list.

Keyword: {keywords}

## Knowledge base content
 {kb_input}

## Wikipedia content
{wikipedia}

## Duckduckgo content
{duckduckgo}

## Bing content
{bing}

## Google content
{google}