Add batch_size in config for VectorDB (#1448)

embedchain/config/vectordb/base.py

@@ -10,6 +10,7 @@ class BaseVectorDbConfig(BaseConfig):
         dir: str = "db",
         host: Optional[str] = None,
         port: Optional[str] = None,
+        batch_size: Optional[int] = 100,
         **kwargs,
     ):
         """
@@ -23,6 +24,8 @@ class BaseVectorDbConfig(BaseConfig):
         :type host: Optional[str], optional
         :param host: Database connection remote port. Use this if you run Embedchain as a client, defaults to None
         :type port: Optional[str], optional
+        :param batch_size: Number of items to insert in one batch, defaults to 100
+        :type batch_size: Optional[int], optional
         :param kwargs: Additional keyword arguments
         :type kwargs: dict
         """
@@ -30,6 +33,7 @@ class BaseVectorDbConfig(BaseConfig):
         self.dir = dir
         self.host = host
         self.port = port
+        self.batch_size = batch_size
         # Assign additional keyword arguments
         if kwargs:
             for key, value in kwargs.items():