> ## Documentation Index
> Fetch the complete documentation index at: https://langchain-5e9cc07a-preview-lginte-1765488813-6406a61.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# FakeEmbeddings

LangChain also provides a fake embedding class. You can use this to test your pipelines.

```python theme={null}
from langchain_community.embeddings import FakeEmbeddings
```

```python theme={null}
embeddings = FakeEmbeddings(size=1352)
```

```python theme={null}
query_result = embeddings.embed_query("foo")
```

```python theme={null}
doc_results = embeddings.embed_documents(["foo"])
```

***

<Callout icon="pen-to-square" iconType="regular">
  [Edit the source of this page on GitHub.](https://github.com/langchain-ai/docs/edit/main/src/oss/python/integrations/text_embedding/fake.mdx)
</Callout>

<Tip icon="terminal" iconType="regular">
  [Connect these docs programmatically](/use-these-docs) to Claude, VSCode, and more via MCP for real-time answers.
</Tip>