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Snowflake 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. You can use these models via the HuggingFaceEmbeddings connector:

pip install langchain-community sentence-transformers
from langchain_community.text_embeddings import HuggingFaceEmbeddings

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

Document loader​

You can use the SnowflakeLoader to load data from Snowflake:

from langchain_community.document_loaders import SnowflakeLoader

API Reference:

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