diff --git a/poetry.lock b/poetry.lock
index 7e7c587b1..95a9771ef 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -2046,13 +2046,13 @@ grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"]
 
 [[package]]
 name = "google-api-python-client"
-version = "2.102.0"
+version = "2.103.0"
 description = "Google API Client Library for Python"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "google-api-python-client-2.102.0.tar.gz", hash = "sha256:906ff9b672a4d5ddad8f4073a040e59f1fba6734909c14cd49938e37be53691d"},
-    {file = "google_api_python_client-2.102.0-py2.py3-none-any.whl", hash = "sha256:ce2fb4d80eb24519ced44a1e79030866cc8a6379ed5ba6c76ba46e772cc68137"},
+    {file = "google-api-python-client-2.103.0.tar.gz", hash = "sha256:5b48dc23913b9a1b447991add03f27c335831559b5a870c522316eae671caf44"},
+    {file = "google_api_python_client-2.103.0-py2.py3-none-any.whl", hash = "sha256:5d6cf80cc34598a85b73e7e689e6eb1ba34f342095aeab9ec408f94521382a7c"},
 ]
 
 [package.dependencies]
@@ -2102,13 +2102,13 @@ httplib2 = ">=0.19.0"
 
 [[package]]
 name = "google-cloud-aiplatform"
-version = "1.34.0"
+version = "1.35.0"
 description = "Vertex AI API client library"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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-    {file = "google_cloud_aiplatform-1.34.0-py2.py3-none-any.whl", hash = "sha256:c55e6f7893fecd81622aa1d47c6f5abf8f830917e99ed0af8637fe1e523ec2c6"},
+    {file = "google-cloud-aiplatform-1.35.0.tar.gz", hash = "sha256:37fba7528739097463331d19695aab636286b029c7d0a0c021620d30d314015c"},
+    {file = "google_cloud_aiplatform-1.35.0-py2.py3-none-any.whl", hash = "sha256:95c8e16d3beb296b2d47d3899226f1bfc9663bc4c9eea8260c5fb7612b9b44b9"},
 ]
 
 [package.dependencies]
@@ -2119,23 +2119,23 @@ google-cloud-storage = ">=1.32.0,<3.0.0dev"
 packaging = ">=14.3"
 proto-plus = ">=1.22.0,<2.0.0dev"
 protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<5.0.0dev"
-shapely = "<2.0.0"
+shapely = "<3.0.0dev"
 
 [package.extras]
 autologging = ["mlflow (>=1.27.0,<=2.1.1)"]
 cloud-profiler = ["tensorboard-plugin-profile (>=2.4.0,<3.0.0dev)", "tensorflow (>=2.4.0,<3.0.0dev)", "werkzeug (>=2.0.0,<2.1.0dev)"]
 datasets = ["pyarrow (>=10.0.1)", "pyarrow (>=3.0.0,<8.0dev)"]
 endpoint = ["requests (>=2.28.1)"]
-full = ["cloudpickle (<3.0)", "docker (>=5.0.3)", "explainable-ai-sdk (>=1.0.0)", "fastapi (>=0.71.0,<0.103.1)", "google-cloud-bigquery", "google-cloud-bigquery-storage", "google-cloud-logging (<4.0)", "google-vizier (==0.0.11)", "google-vizier (==0.0.11)", "google-vizier (==0.0.4)", "google-vizier (>=0.1.6)", "httpx (>=0.23.0,<0.25.0)", "importlib-metadata (<7.0)", "lit-nlp (==0.4.0)", "mlflow (>=1.27.0,<=2.1.1)", "numpy (>=1.15.0)", "pandas (>=1.0.0)", "pyarrow (>=10.0.1)", "pyarrow (>=3.0.0,<8.0dev)", "pyarrow (>=6.0.1)", "pydantic (<2)", "pyyaml (==5.3.1)", "ray[default] (>=2.4,<2.5)", "ray[default] (>=2.5,<2.5.1)", "requests (>=2.28.1)", "starlette (>=0.17.1)", "tensorflow (>=2.3.0,<3.0.0dev)", "urllib3 (>=1.21.1,<1.27)", "uvicorn[standard] (>=0.16.0)"]
+full = ["cloudpickle (<3.0)", "docker (>=5.0.3)", "explainable-ai-sdk (>=1.0.0)", "fastapi (>=0.71.0,<0.103.1)", "google-cloud-bigquery", "google-cloud-bigquery-storage", "google-cloud-logging (<4.0)", "google-vizier (==0.0.11)", "google-vizier (==0.0.11)", "google-vizier (==0.0.4)", "google-vizier (>=0.1.6)", "httpx (>=0.23.0,<0.25.0)", "lit-nlp (==0.4.0)", "mlflow (>=1.27.0,<=2.1.1)", "numpy (>=1.15.0)", "pandas (>=1.0.0)", "pyarrow (>=10.0.1)", "pyarrow (>=3.0.0,<8.0dev)", "pyarrow (>=6.0.1)", "pydantic (<2)", "pyyaml (==5.3.1)", "ray[default] (>=2.4,<2.5)", "ray[default] (>=2.5,<2.5.1)", "requests (>=2.28.1)", "starlette (>=0.17.1)", "tensorflow (>=2.3.0,<3.0.0dev)", "urllib3 (>=1.21.1,<1.27)", "uvicorn[standard] (>=0.16.0)"]
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 pipelines = ["pyyaml (==5.3.1)"]
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-preview = ["cloudpickle (<3.0)", "google-cloud-logging (<4.0)", "importlib-metadata (<7.0)"]
+preview = ["cloudpickle (<3.0)", "google-cloud-logging (<4.0)"]
 private-endpoints = ["requests (>=2.28.1)", "urllib3 (>=1.21.1,<1.27)"]
 ray = ["google-cloud-bigquery", "google-cloud-bigquery-storage", "pandas (>=1.0.0)", "pyarrow (>=6.0.1)", "pydantic (<2)", "ray[default] (>=2.4,<2.5)", "ray[default] (>=2.5,<2.5.1)"]
 tensorboard = ["tensorflow (>=2.3.0,<3.0.0dev)"]
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 vizier = ["google-vizier (==0.0.11)", "google-vizier (==0.0.11)", "google-vizier (==0.0.4)", "google-vizier (>=0.1.6)"]
 xai = ["tensorflow (>=2.3.0,<3.0.0dev)"]
 
@@ -3283,13 +3283,13 @@ test = ["coverage", "ipykernel (>=6.14)", "mypy", "paramiko", "pre-commit", "pyt
 
 [[package]]
 name = "jupyter-core"
-version = "5.3.2"
+version = "5.4.0"
 description = "Jupyter core package. A base package on which Jupyter projects rely."
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -4026,38 +4026,38 @@ dill = ">=0.3.7"
 
 [[package]]
 name = "mypy"
-version = "1.5.1"
+version = "1.6.0"
 description = "Optional static typing for Python"
 optional = false
 python-versions = ">=3.8"
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 ]
 
 [package.dependencies]
@@ -6481,59 +6481,57 @@ testing-integration = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "jar
 
 [[package]]
 name = "shapely"
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 optional = false
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 ]
 
+[package.dependencies]
+numpy = ">=1.14"
+
 [package.extras]
-all = ["numpy", "pytest", "pytest-cov"]
+docs = ["matplotlib", "numpydoc (==1.1.*)", "sphinx", "sphinx-book-theme", "sphinx-remove-toctrees"]
 test = ["pytest", "pytest-cov"]
-vectorized = ["numpy"]
 
 [[package]]
 name = "six"
diff --git a/pyproject.toml b/pyproject.toml
index f29399293..10bff92cb 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "langflow"
-version = "0.5.2"
+version = "0.5.3"
 description = "A Python package with a built-in web application"
 authors = ["Logspace <contact@logspace.ai>"]
 maintainers = [
diff --git a/src/backend/langflow/alembic/versions/eb5866d51fd2_change_columns_to_be_nullable.py b/src/backend/langflow/alembic/versions/eb5866d51fd2_change_columns_to_be_nullable.py
index 10d503e60..cb126c926 100644
--- a/src/backend/langflow/alembic/versions/eb5866d51fd2_change_columns_to_be_nullable.py
+++ b/src/backend/langflow/alembic/versions/eb5866d51fd2_change_columns_to_be_nullable.py
@@ -9,6 +9,7 @@ from typing import Sequence, Union
 
 from alembic import op
 import sqlalchemy as sa
+from sqlalchemy import exc
 import sqlmodel  # noqa: F401
 
 # revision identifiers, used by Alembic.
@@ -20,16 +21,21 @@ depends_on: Union[str, Sequence[str], None] = None
 
 def upgrade() -> None:
     # ### commands auto generated by Alembic - please adjust! ###
+    connection = op.get_bind()
     try:
         op.drop_table("flowstyle")
         with op.batch_alter_table("component", schema=None) as batch_op:
             batch_op.drop_index("ix_component_frontend_node_id")
             batch_op.drop_index("ix_component_name")
+    except exc.SQLAlchemyError:
+        connection.execute("ROLLBACK")
     except Exception:
         pass
 
     try:
         op.drop_table("component")
+    except exc.SQLAlchemyError:
+        connection.execute("ROLLBACK")
     except Exception:
         pass
     # ### end Alembic commands ###
diff --git a/src/backend/langflow/services/database/manager.py b/src/backend/langflow/services/database/manager.py
index c743387eb..7465c804f 100644
--- a/src/backend/langflow/services/database/manager.py
+++ b/src/backend/langflow/services/database/manager.py
@@ -115,7 +115,35 @@ class DatabaseService(Service):
 
         return True
 
+    def init_alembic(self):
+        logger.info("Initializing alembic")
+        alembic_cfg = Config()
+        alembic_cfg.set_main_option("script_location", str(self.script_location))
+        alembic_cfg.set_main_option("sqlalchemy.url", self.database_url)
+        command.stamp(alembic_cfg, "head")
+        logger.info("Alembic initialized")
+
     def run_migrations(self):
+        # First we need to check if alembic has been initialized
+        # If not, we need to initialize it
+        # if not self.script_location.exists(): # this is not the correct way to check if alembic has been initialized
+        # We need to check if the alembic_version table exists
+        # if not, we need to initialize alembic
+        with Session(self.engine) as session:
+            # If the table does not exist it throws an error
+            # so we need to catch it
+            try:
+                session.execute("SELECT * FROM alembic_version")
+            except Exception:
+                logger.info("Alembic not initialized")
+                try:
+                    self.init_alembic()
+                except Exception as exc:
+                    logger.error(f"Error initializing alembic: {exc}")
+                    raise RuntimeError("Error initializing alembic") from exc
+            else:
+                logger.info("Alembic already initialized")
+
         logger.info(f"Running DB migrations in {self.script_location}")
         alembic_cfg = Config()
         alembic_cfg.set_main_option("script_location", str(self.script_location))