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/docs Command命令

The /docs command provides MongoDB-specific information, supplemented by links to MongoDB Documentation. The MongoDB Extension for Github Copilot uses Retrieval-Augmented Generation (RAG) to generate responses based on the latest version of MongoDB Documentation./docs命令提供特定于MongoDB的信息，并辅以指向MongoDB文档的链接。Github Copilot的MongoDB扩展使用检索增强生成（RAG）根据最新版本的MongoDB文档生成响应。

Examples示例

The rest of this page illustrates example use cases for the /docs command:本页其余部分说明了/docs命令的示例用例：

Instructional Questions教学问题

You can use the /docs command to ask how to perform specific operations. The following prompt asks for information on creating an index:您可以使用/docs命令询问如何执行特定操作。以下提示询问有关创建索引的信息：

@MongoDB /docs How do I create an index?

The MongoDB Extension for Github Copilot first provides the following MongoDB documentation:Github Copilot的MongoDB扩展首先提供了以下MongoDB文档：

The generated response also contains information about creating an index and code examples:生成的响应还包含有关创建索引和代码示例的信息：

Screenshot of copilot providing information on creating an index

Strategic Questions战略问题

You can also use the /docs command to ask for operation recommendations. The following prompt asks the MongoDB Extension for Github Copilot for a recommendation on the best way to perform semantic search:您还可以使用/docs命令询问操作建议。以下提示要求Github Copilot的MongoDB扩展提供执行语义搜索的最佳方式的建议：

@MongoDB /docs what is the best way to perform semantic search on my
data?

The generated response recommends using Atlas Vector Search and provides the following links to MongoDB documentation:生成的响应建议使用Atlas矢量搜索，并提供以下指向MongoDB文档的链接：

The response also includes steps to get started with Atlas Vector Search, with a code example:该响应还包括开始使用Atlas矢量搜索的步骤，并附有代码示例：

Screenshot of copilot providing information on using vector search