# Snowflake

> [Snowflake](https://www.snowflake.com/) is a cloud-based data-warehousing platform 
> that allows you to store and query large amounts of data.

This page covers how to use the `Snowflake` ecosystem within `LangChain`.

## Embedding models

Snowflake offers their open weight `arctic` line of embedding models for free
on [Hugging Face](https://huggingface.co/Snowflake/snowflake-arctic-embed-l). 
You can use these models via the 
[HuggingFaceEmbeddings](/docs/integrations/text_embedding/huggingfacehub) connector:

```shell
pip install langchain-community sentence-transformers
```

```python
from langchain_community.text_embeddings import HuggingFaceEmbeddings

model = HuggingFaceEmbeddings(model_name="snowflake/arctic-embed-l")
```

## Document loader

You can use the [`SnowflakeLoader`](/docs/integrations/document_loaders/snowflake) 
to load data from Snowflake:

```python
from langchain_community.document_loaders import SnowflakeLoader
```
