Add config option for vertex embedding tasks (#2266)

mem0/embeddings/huggingface.py

@@ -1,4 +1,4 @@
-from typing import Optional
+from typing import Literal, Optional
 
 from sentence_transformers import SentenceTransformer
 
@@ -16,13 +16,13 @@ class HuggingFaceEmbedding(EmbeddingBase):
 
         self.config.embedding_dims = self.config.embedding_dims or self.model.get_sentence_embedding_dimension()
 
-    def embed(self, text):
+    def embed(self, text, memory_action:Optional[Literal["add", "search", "update"]] = None):
         """
         Get the embedding for the given text using Hugging Face.
 
         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.
         """