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# 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
```