together.py•1.26 kB
import os
from typing import Literal
from together import Together
from selfmemory.configs.embeddings.base import BaseEmbedderConfig
from selfmemory.embeddings.base import EmbeddingBase
class TogetherEmbedding(EmbeddingBase):
def __init__(self, config: BaseEmbedderConfig | None = None):
super().__init__(config)
self.config.model = (
self.config.model or "togethercomputer/m2-bert-80M-8k-retrieval"
)
api_key = self.config.api_key or os.getenv("TOGETHER_API_KEY")
# TODO: check if this is correct
self.config.embedding_dims = self.config.embedding_dims or 768
self.client = Together(api_key=api_key)
def embed(
self, text, memory_action: Literal["add", "search", "update"] | None = None
):
"""
Get the embedding for the given text using OpenAI.
Args:
text (str): The text to embed.
memory_action (optional): The type of embedding to use. Must be one of "add", "search", or "update". Defaults to None.
Returns:
list: The embedding vector.
"""
return (
self.client.embeddings.create(model=self.config.model, input=text)
.data[0]
.embedding
)