> ## Documentation Index
> Fetch the complete documentation index at: https://cndoc-langchain.site/llms.txt
> Use this file to discover all available pages before exploring further.

# FakeEmbeddings 集成

> 使用 LangChain Python 与 FakeEmbeddings 嵌入模型集成。

LangChain 还提供了一个假的嵌入类。您可以使用它来测试您的管道。

```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
from langchain_community.embeddings import FakeEmbeddings
```

```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
embeddings = FakeEmbeddings(size=1352)
```

```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
query_result = embeddings.embed_query("foo")
```

```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
doc_results = embeddings.embed_documents(["foo"])
```

***

<div className="source-links">
  <Callout icon="terminal-2">
    [连接这些文档](/use-these-docs) 到 Claude、VSCode 等，通过 MCP 获取实时答案。
  </Callout>

  <Callout icon="edit">
    [在 GitHub 上编辑此页面](https://github.com/langchain-ai/docs/edit/main/src/oss/python/integrations/embeddings/fake.mdx) 或 [提交问题](https://github.com/langchain-ai/docs/issues/new/choose)。
  </Callout>
</div>