langchain/docs/versioned_docs/version-0.2.x/integrations/providers/sklearn.mdx

# scikit-learn

>[scikit-learn](https://scikit-learn.org/stable/) is an open-source collection of machine learning algorithms, 
> including some implementations of the [k nearest neighbors](https://scikit-learn.org/stable/modules/generated/sklearn.neighbors.NearestNeighbors.html). `SKLearnVectorStore` wraps this implementation and adds the possibility to persist the vector store in json, bson (binary json) or Apache Parquet format.

## Installation and Setup

- Install the Python package with `pip install scikit-learn`


## Vector Store

`SKLearnVectorStore` provides a simple wrapper around the nearest neighbor implementation in the
scikit-learn package, allowing you to use it as a vectorstore.

To import this vectorstore:

```python
from langchain_community.vectorstores import SKLearnVectorStore
```

For a more detailed walkthrough of the SKLearnVectorStore wrapper, see [this notebook](/docs/integrations/vectorstores/sklearn).