[integration]: Together embedder added (#1995)

mem0/embeddings/configs.py

@@ -13,7 +13,7 @@ class EmbedderConfig(BaseModel):
     @field_validator("config")
     def validate_config(cls, v, values):
         provider = values.data.get("provider")
-        if provider in ["openai", "ollama", "huggingface", "azure_openai", "gemini", "vertexai"]:
+        if provider in ["openai", "ollama", "huggingface", "azure_openai", "gemini", "vertexai", "together"]:
             return v
         else:
             raise ValueError(f"Unsupported embedding provider: {provider}")

mem0/embeddings/together.py

@@ -0,0 +1,31 @@
+import os
+from typing import Optional
+
+from together import Together
+
+from mem0.configs.embeddings.base import BaseEmbedderConfig
+from mem0.embeddings.base import EmbeddingBase
+
+
+class TogetherEmbedding(EmbeddingBase):
+    def __init__(self, config: Optional[BaseEmbedderConfig] = 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):
+        """
+        Get the embedding for the given text using OpenAI.
+
+        Args:
+            text (str): The text to embed.
+
+        Returns:
+            list: The embedding vector.
+        """
+
+        return self.client.embeddings.create(model=self.config.model, input=text).data[0].embedding