diff --git a/cognee/api/v1/topology/__init__.py b/cognee/api/v1/topology/__init__.py
deleted file mode 100644
index e69de29bb..000000000
diff --git a/cognee/api/v1/topology/add_topology.py b/cognee/api/v1/topology/add_topology.py
deleted file mode 100644
index c7f42f638..000000000
--- a/cognee/api/v1/topology/add_topology.py
+++ /dev/null
@@ -1,96 +0,0 @@
-import pandas as pd
-from pydantic import BaseModel
-
-from typing import List, Dict, Any, Union, Optional
-from cognee.infrastructure.databases.graph.get_graph_client import get_graph_client
-from cognee.modules.topology.topology import TopologyEngine, GitHubRepositoryModel
-from cognee.infrastructure.databases.graph.config import get_graph_config
-
-import os
-import pandas as pd
-import json
-from pydantic import BaseModel, Field
-from typing import Dict, List, Optional, Union, Type, Any
-from cognee.infrastructure.databases.graph.get_graph_client import get_graph_client
-
-
-
-
-class Relationship(BaseModel):
-    type: str = Field(..., description="The type of relationship, e.g., 'belongs_to'.")
-    source: Optional[str] = Field(None, description="The identifier of the source id of in the relationship being a directory or subdirectory")
-    target: Optional[str] = Field(None, description="The identifier of the target id in the relationship being the directory, subdirectory or file")
-    properties: Optional[Dict[str, Any]] = Field(None, description="A dictionary of additional properties and values related to the relationship.")
-
-class JSONEntity(BaseModel):
-    name: str
-    set_type_as: Optional[str] = None
-    property_columns: List[str]
-    description: Optional[str] = None
-
-class JSONPattern(BaseModel):
-    head: str
-    relation: str
-    tail: str
-    description: Optional[str] = None
-
-class JSONModel(BaseModel):
-    node_id: str
-    entities: List[JSONEntity]
-    patterns: List[JSONPattern]
-USER_ID = "default_user"
-
-async def add_topology(directory: str = "example", model: BaseModel = GitHubRepositoryModel) -> Any:
-    graph_config = get_graph_config()
-    # graph_db_type = graph_config.graph_database_provider
-
-    graph_client = await get_graph_client()
-
-    engine = TopologyEngine()
-    topology = await engine.infer_from_directory_structure(node_id=USER_ID, repository=directory, model=model)
-
-    def flatten_model(model: BaseModel, parent_id: Optional[str] = None) -> Dict[str, Any]:
-        """Flatten a single Pydantic model to a dictionary handling nested structures."""
-        result = {**model.dict(), "parent_id": parent_id}
-        if hasattr(model, "default_relationship") and model.default_relationship:
-            result.update({
-                "relationship_type": model.default_relationship.type,
-                "relationship_source": model.default_relationship.source,
-                "relationship_target": model.default_relationship.target
-            })
-        return result
-
-    def recursive_flatten(items: Union[List[Any], BaseModel], parent_id: Optional[str] = None) -> List[Dict[str, Any]]:
-        """Recursively flatten nested Pydantic models or lists of models."""
-        if isinstance(items, list):
-            return [entry for item in items for entry in recursive_flatten(item, parent_id)]
-        elif isinstance(items, BaseModel):
-            flat = [flatten_model(items, parent_id)]
-            for field, value in items:
-                if isinstance(value, (BaseModel, list)):
-                    flat.extend(recursive_flatten(value, items.dict().get("node_id", None)))
-            return flat
-        else:
-            return []
-
-    def flatten_repository(repo_model: BaseModel) -> List[Dict[str, Any]]:
-        """ Flatten the entire repository model, starting with the top-level model """
-        return recursive_flatten(repo_model)
-
-    async def add_graph_topology():
-
-        flt_topology = flatten_repository(topology)
-
-        df = pd.DataFrame(flt_topology)
-
-
-        for _, row in df.iterrows():
-            node_data = row.to_dict()
-            node_id = node_data.pop("node_id")
-
-            # Remove "node_id" and get its value
-            await graph_client.add_node(node_id, node_data)
-            if pd.notna(row["relationship_source"]) and pd.notna(row["relationship_target"]):
-                await graph_client.add_edge(row["relationship_source"], row["relationship_target"], relationship_name=row["relationship_type"])
-
-    return graph_client.graph