TogetherEmbeddings
This notebook covers how to get started with open source embedding models hosted in the Together AI API.
Installationโ
# install package
%pip install --upgrade --quiet langchain-together
Environment Setupโ
Make sure to set the following environment variables:
TOGETHER_API_KEY
Usageโ
First, select a supported model from this list. In the following example, we will use togethercomputer/m2-bert-80M-8k-retrieval
.
from langchain_together.embeddings import TogetherEmbeddings
embeddings = TogetherEmbeddings(model="togethercomputer/m2-bert-80M-8k-retrieval")
API Reference:
embeddings.embed_query("My query to look up")
embeddings.embed_documents(
["This is a content of the document", "This is another document"]
)
# async embed query
await embeddings.aembed_query("My query to look up")
# async embed documents
await embeddings.aembed_documents(
["This is a content of the document", "This is another document"]
)