Fix batch_size for vectordb (#1449)

embedchain/config/vectordb/pinecone.py

@@ -17,6 +17,7 @@ class PineconeDBConfig(BaseVectorDbConfig):
         serverless_config: Optional[dict[str, any]] = None,
         hybrid_search: bool = False,
         bm25_encoder: any = None,
+        batch_size: Optional[int] = 100,
         **extra_params: dict[str, any],
     ):
         self.metric = metric
@@ -26,6 +27,7 @@ class PineconeDBConfig(BaseVectorDbConfig):
         self.extra_params = extra_params
         self.hybrid_search = hybrid_search
         self.bm25_encoder = bm25_encoder
+        self.batch_size = batch_size
         if pod_config is None and serverless_config is None:
             # If no config is provided, use the default pod spec config
             pod_environment = os.environ.get("PINECONE_ENV", "gcp-starter")