TogetherEmbeddings

This notebook covers how to get started with open source embedding models hosted in the Together AI API.

Installation

# install package
%pip install --upgrade --quiet  langchain-together

Environment Setup

Make sure to set the following environment variables:

• TOGETHER_API_KEY

Usage

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:

• TogetherEmbeddings

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"]
)