diff --git a/.github/workflows/personal-graph.yaml b/.github/workflows/personal-graph.yaml
index be1ae299..90d16d4f 100644
--- a/.github/workflows/personal-graph.yaml
+++ b/.github/workflows/personal-graph.yaml
@@ -62,5 +62,5 @@ jobs:
 
       - name: Test with pytest
         run: |
-         cd personal_graph 
+         cd tests 
          poetry run pytest -vvv
diff --git a/examples/pythonic_api.py b/examples/pythonic_api.py
index 8fcada55..c5aef9b3 100644
--- a/examples/pythonic_api.py
+++ b/examples/pythonic_api.py
@@ -1,7 +1,14 @@
 import os
 import logging
-from personal_graph.graph import Graph
-from personal_graph.models import Node, EdgeInput, KnowledgeGraph, Edge
+from personal_graph import (
+    Graph,
+    to_networkx,
+    from_networkx,
+    Node,
+    EdgeInput,
+    KnowledgeGraph,
+    Edge,
+)
 
 
 def main(url, token):
@@ -104,6 +111,14 @@ def main(url, token):
         )
         logging.info(graph.visualize_graph(kg))
 
+        # Transforms to and from networkx do not alter the graph
+        g2 = from_networkx(
+            to_networkx(graph, post_visualize=True), post_visualize=True, override=False
+        )
+        if graph == g2:
+            logging.info("TRUE")
+        assert graph == g2
+
         graph.save()
 
 
diff --git a/personal_graph/__init__.py b/personal_graph/__init__.py
index 467b7dad..9b3ec604 100644
--- a/personal_graph/__init__.py
+++ b/personal_graph/__init__.py
@@ -1,3 +1,13 @@
-from personal_graph import graph
+from personal_graph.graph import Graph
+from personal_graph.ml import to_networkx, from_networkx
+from personal_graph.models import Node, Edge, EdgeInput, KnowledgeGraph
 
-__all__ = ["graph"]
+__all__ = [
+    "Graph",
+    "to_networkx",
+    "from_networkx",
+    "Node",
+    "Edge",
+    "EdgeInput",
+    "KnowledgeGraph",
+]
diff --git a/personal_graph/database.py b/personal_graph/database.py
index de9f591e..5cd55973 100644
--- a/personal_graph/database.py
+++ b/personal_graph/database.py
@@ -462,6 +462,7 @@ def _remove_node(cursor, connection):
             cursor.execute(read_sql("delete-node.sql"), (identifier,))
 
             cursor.execute(read_sql("delete-node-embedding.sql"), (node[0],))
+            connection.commit()
 
     return _remove_node
 
@@ -539,6 +540,16 @@ def _find_node(cursor, connection):
     return _find_node
 
 
+def find_label(identifier: Any) -> CursorExecFunction:
+    def _find_label(cursor, connection):
+        node_label = cursor.execute(
+            "SELECT label from nodes where id=?", (identifier,)
+        ).fetchone()
+        return node_label
+
+    return _find_label
+
+
 def _parse_search_results(results: List[Tuple], idx: int = 0) -> List[Dict]:
     return [json.loads(item[idx]) for item in results]
 
@@ -650,6 +661,9 @@ def _merge(cursor, connection):
                 cursor, connection
             )
 
+            if similar_nodes is None:
+                continue
+
             if len(similar_nodes) < 1:
                 continue
 
@@ -800,6 +814,34 @@ def _fetch_nodes_from_db(cursor, connection):
     return _fetch_nodes_from_db
 
 
+def find_indegree_edges(target_id: Any) -> CursorExecFunction:
+    def _indegree_edges(cursor, connection):
+        indegree = cursor.execute(
+            "SELECT source, label, attributes from edges where target=? ", (target_id,)
+        )
+
+        if indegree:
+            indegree = indegree.fetchall()
+
+        return indegree
+
+    return _indegree_edges
+
+
+def find_outdegree_edges(source_id: Any) -> CursorExecFunction:
+    def _outdegree_edges(cursor, connection):
+        outdegree = cursor.execute(
+            "SELECT target, label, attributes from edges where source=? ", (source_id,)
+        )
+
+        if outdegree:
+            outdegree = outdegree.fetchall()
+
+        return outdegree
+
+    return _outdegree_edges
+
+
 def all_connected_nodes(node_or_edge: Union[Node | Edge]) -> CursorExecFunction:
     def _connected_nodes(cursor, connection):
         nodes = None
diff --git a/personal_graph/graph.py b/personal_graph/graph.py
index efe13209..1258532a 100644
--- a/personal_graph/graph.py
+++ b/personal_graph/graph.py
@@ -28,6 +28,9 @@
     find_similar_nodes,
     nodes_list,
     vector_search_node,
+    find_label,
+    find_outdegree_edges,
+    find_indegree_edges,
 )
 from .natural import insert_into_graph, search_from_graph, visualize_knowledge_graph
 from .visualizers import graphviz_visualize
@@ -38,6 +41,11 @@ def __init__(self, db_url: Optional[str] = None, auth_token: Optional[str] = Non
         self.db_url = db_url
         self.auth_token = auth_token
 
+    def __eq__(self, other):
+        if not isinstance(other, Graph):
+            return "Not of Graph Type"
+        return self.db_url == other.db_url and self.auth_token == other.auth_token
+
     def __enter__(self, schema_file: str = "schema.sql") -> Graph:
         if not self.db_url:
             # Support for local SQLite database
@@ -131,6 +139,9 @@ def remove_nodes(self, ids: List[Any]) -> None:
     def search_node(self, node_id: Any) -> Any:
         return atomic(find_node(node_id), self.db_url, self.auth_token)
 
+    def search_node_label(self, node_id: Any) -> Any:
+        return atomic(find_label(node_id), self.db_url, self.auth_token)
+
     def traverse(
         self, source: Any, target: Optional[Any] = None, with_bodies: bool = False
     ) -> List:
@@ -170,6 +181,12 @@ def visualize(self, file: str, path: List[str]) -> Digraph:
     def fetch_ids_from_db(self) -> List[str]:
         return atomic(nodes_list(), self.db_url, self.auth_token)
 
+    def search_indegree_edges(self, target) -> List[Any]:
+        return atomic(find_indegree_edges(target), self.db_url, self.auth_token)
+
+    def search_outdegree_edges(self, source) -> List[Any]:
+        return atomic(find_outdegree_edges(source), self.db_url, self.auth_token)
+
     def is_unique_prompt(self, text: str, threshold: float) -> bool:
         similar_nodes = atomic(
             vector_search_node({"body": text}, threshold, 1),
diff --git a/personal_graph/ml.py b/personal_graph/ml.py
index 0c4a74e7..b57e1519 100644
--- a/personal_graph/ml.py
+++ b/personal_graph/ml.py
@@ -1,4 +1,184 @@
-"""
-Provide functions to convert the data in the graph db into formats compatible with
-graph analysis frameworks such as Networkx and DGL
-"""
+import json
+import os
+
+import networkx as nx  # type: ignore
+from typing import Dict, Any
+import matplotlib.pyplot as plt
+from graphviz import Digraph  # type: ignore
+
+import personal_graph.graph as pg
+from personal_graph.models import Node, KnowledgeGraph, Edge, EdgeInput
+
+
+def to_networkx(graph: pg.Graph, *, post_visualize: bool = False) -> nx.Graph:
+    """
+    Convert the graph database to a NetworkX DiGraph object.
+    """
+    G = nx.Graph()  # Empty Graph with no nodes and edges
+
+    node_ids = graph.fetch_ids_from_db()
+    # Add edges to networkX
+    for source_id in node_ids:
+        outdegree_edges = graph.search_outdegree_edges(source_id)
+        for target_id, edge_label, edge_data in outdegree_edges:
+            edge_data = json.loads(edge_data)
+            edge_data["label"] = edge_label
+            G.add_edge(source_id, target_id, **edge_data)
+
+    for target_id in node_ids:
+        indegree_edges = graph.search_indegree_edges(target_id)
+        for source_id, edge_label, edge_data in indegree_edges:
+            edge_data = json.loads(edge_data)
+            edge_data["label"] = edge_label
+            G.add_edge(source_id, target_id, **edge_data)
+
+    for node_id in node_ids:
+        node_data = graph.search_node(node_id)
+        node_label = graph.search_node_label(node_id)
+        node_data["label"] = node_label
+        G.add_node(node_id, **node_data)
+
+    if post_visualize:
+        # Visualizing the NetworkX Graph
+        plt.figure(figsize=(20, 20), dpi=100)  # Increase the figure size and resolution
+        pos = nx.spring_layout(
+            G, scale=6
+        )  # Use spring layout for better node positioning
+
+        nx.draw_networkx(
+            G,
+            pos,
+            with_labels=True,
+            nodelist=G.nodes(),
+            edgelist=G.edges(),
+            node_size=600,
+            node_color="skyblue",
+            edge_color="gray",
+            width=1.5,
+        )
+        nx.draw_networkx_edge_labels(
+            G, pos, edge_labels=nx.get_edge_attributes(G, "label")
+        )
+        plt.axis("off")  # Show the axes
+        plt.savefig("networkX_graph.png")
+
+    return G
+
+
+def from_networkx(
+    network_graph: nx, *, post_visualize: bool = False, override: bool = True
+) -> pg.Graph:
+    with pg.Graph(os.getenv("LIBSQL_URL"), os.getenv("LIBSQL_AUTH_TOKEN")) as graph:
+        if override:
+            node_ids = graph.fetch_ids_from_db()
+            graph.remove_nodes(node_ids)
+
+        node_ids_with_edges = set()
+        kg = KnowledgeGraph()
+
+        # Convert networkX edges to personal graph edges
+        for source_id, target_id, edge_data in network_graph.edges(data=True):
+            edge_attributes: Dict[str, Any] = edge_data
+            edge_label: str = edge_attributes["label"]
+
+            if not override:
+                # Check if the node with the given id exists, if not then firstly add the node.
+                source = graph.search_node(source_id)
+                if source is []:
+                    graph.add_node(
+                        Node(
+                            id=str(source_id),
+                            label=edge_label if edge_label else "",
+                            attributes=edge_attributes,
+                        )
+                    )
+                else:
+                    node_ids_with_edges.add(str(source_id))
+
+                target = graph.search_node(target_id)
+                if target is []:
+                    node_ids_with_edges.remove(str(target_id))
+                    graph.add_node(
+                        Node(
+                            id=str(target_id),
+                            label=edge_label if edge_label else "",
+                            attributes=edge_attributes,
+                        )
+                    )
+                else:
+                    node_ids_with_edges.add(str(target_id))
+
+            # After adding the new nodes if exists , add an edge
+            edge = Edge(
+                source=str(source_id),
+                target=str(target_id),
+                label=edge_label if edge_label else "",
+                attributes=edge_attributes,
+            )
+            kg.edges.append(edge)
+
+        # Convert networkX nodes to personal graph nodes
+        for node_id, node_data in network_graph.nodes(data=True):
+            if str(node_id) not in node_ids_with_edges:
+                node_attributes: Dict[str, Any] = node_data
+                node_label: str = node_attributes.pop("label", "")
+                node = Node(
+                    id=str(node_id), label=node_label[0], attributes=node_attributes
+                )
+
+                if not override:
+                    # Check if the node exists
+                    if_node_exists = graph.search_node(node_id)
+
+                    if if_node_exists:
+                        graph.update_node(node)
+                    else:
+                        graph.add_node(node)
+                else:
+                    graph.add_node(node)
+                kg.nodes.append(node)
+
+        for edge in kg.edges:
+            source_node_attributes = graph.search_node(edge.source)
+            source_node_label = graph.search_node_label(edge.source)
+            target_node_attributes = graph.search_node(edge.target)
+            target_node_label = graph.search_node_label(edge.target)
+            final_edge_to_be_inserted = EdgeInput(
+                source=Node(
+                    id=edge.source,
+                    label=source_node_label
+                    if isinstance(source_node_label, str)
+                    else "Sample label",
+                    attributes=source_node_attributes
+                    if isinstance(source_node_attributes, Dict)
+                    else "Sample Attributes",
+                ),
+                target=Node(
+                    id=edge.target,
+                    label=target_node_label
+                    if isinstance(target_node_label, str)
+                    else "Sample label",
+                    attributes=target_node_attributes
+                    if isinstance(target_node_attributes, Dict)
+                    else "Sample Attributes",
+                ),
+                label=edge.label if isinstance(edge.label, str) else "Sample label",
+                attributes=edge.attributes
+                if isinstance(edge_attributes, Dict)
+                else "Sample Attributes",
+            )
+            graph.add_edge(final_edge_to_be_inserted)
+
+    if post_visualize:
+        # Visualize the personal graph using graphviz
+        dot = Digraph()
+
+        for node in kg.nodes:
+            dot.node(node.id, label=f"{node.label}: {node.id}")
+
+        for edge in kg.edges:
+            dot.edge(edge.source, edge.target, label=edge.label)
+
+        dot.render("personal_graph.gv", view=True)
+
+    return graph
diff --git a/personal_graph/models.py b/personal_graph/models.py
index 2e1c6fbe..d586b9e7 100644
--- a/personal_graph/models.py
+++ b/personal_graph/models.py
@@ -13,7 +13,7 @@ class Node(BaseModel):
     )
     label: str = Field(
         ...,
-        min_length=2,
+        min_length=1,
         description="Most related and unique name associated with the node.",
     )
 
@@ -27,7 +27,7 @@ class Edge(BaseModel):
     )
     label: str = Field(
         ...,
-        min_length=2,
+        min_length=1,
         description="Most related and unique name associated with the edge.",
     )
     attributes: Union[str, Dict[str, str]] = Field(
@@ -42,7 +42,7 @@ class EdgeInput(BaseModel):
     target: Node = Field(..., description="Target node to which the edge points.")
     label: str = Field(
         ...,
-        min_length=2,
+        min_length=1,
         description="Most related and unique name associated with the edge.",
     )
     attributes: Union[str, Dict[str, str]] = Field(
diff --git a/personal_graph/tests/test_ml.py b/personal_graph/tests/test_ml.py
deleted file mode 100644
index e69de29b..00000000
diff --git a/poetry.lock b/poetry.lock
index c1c62457..b55d4426 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -508,6 +508,84 @@ traitlets = ">=4"
 [package.extras]
 test = ["pytest"]
 
+[[package]]
+name = "contourpy"
+version = "1.2.1"
+description = "Python library for calculating contours of 2D quadrilateral grids"
+optional = false
+python-versions = ">=3.9"
+files = [
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 test = ["ipykernel", "pre-commit", "pytest (<8)", "pytest-cov", "pytest-timeout"]
 
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+    {file = "matplotlib-3.8.4-cp311-cp311-win_amd64.whl", hash = "sha256:8080d5081a86e690d7688ffa542532e87f224c38a6ed71f8fbed34dd1d9fedae"},
+    {file = "matplotlib-3.8.4-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:6485ac1f2e84676cff22e693eaa4fbed50ef5dc37173ce1f023daef4687df616"},
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+    {file = "matplotlib-3.8.4-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:50bac6e4d77e4262c4340d7a985c30912054745ec99756ce213bfbc3cb3808eb"},
+    {file = "matplotlib-3.8.4-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f51c4c869d4b60d769f7b4406eec39596648d9d70246428745a681c327a8ad30"},
+    {file = "matplotlib-3.8.4-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:b12ba985837e4899b762b81f5b2845bd1a28f4fdd1a126d9ace64e9c4eb2fb25"},
+    {file = "matplotlib-3.8.4-cp312-cp312-win_amd64.whl", hash = "sha256:7a6769f58ce51791b4cb8b4d7642489df347697cd3e23d88266aaaee93b41d9a"},
+    {file = "matplotlib-3.8.4-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:843cbde2f0946dadd8c5c11c6d91847abd18ec76859dc319362a0964493f0ba6"},
+    {file = "matplotlib-3.8.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:1c13f041a7178f9780fb61cc3a2b10423d5e125480e4be51beaf62b172413b67"},
+    {file = "matplotlib-3.8.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fb44f53af0a62dc80bba4443d9b27f2fde6acfdac281d95bc872dc148a6509cc"},
+    {file = "matplotlib-3.8.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:606e3b90897554c989b1e38a258c626d46c873523de432b1462f295db13de6f9"},
+    {file = "matplotlib-3.8.4-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:9bb0189011785ea794ee827b68777db3ca3f93f3e339ea4d920315a0e5a78d54"},
+    {file = "matplotlib-3.8.4-cp39-cp39-win_amd64.whl", hash = "sha256:6209e5c9aaccc056e63b547a8152661324404dd92340a6e479b3a7f24b42a5d0"},
+    {file = "matplotlib-3.8.4-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:c7064120a59ce6f64103c9cefba8ffe6fba87f2c61d67c401186423c9a20fd35"},
+    {file = "matplotlib-3.8.4-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a0e47eda4eb2614300fc7bb4657fced3e83d6334d03da2173b09e447418d499f"},
+    {file = "matplotlib-3.8.4-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:493e9f6aa5819156b58fce42b296ea31969f2aab71c5b680b4ea7a3cb5c07d94"},
+    {file = "matplotlib-3.8.4.tar.gz", hash = "sha256:8aac397d5e9ec158960e31c381c5ffc52ddd52bd9a47717e2a694038167dffea"},
+]
+
+[package.dependencies]
+contourpy = ">=1.0.1"
+cycler = ">=0.10"
+fonttools = ">=4.22.0"
+kiwisolver = ">=1.3.1"
+numpy = ">=1.21"
+packaging = ">=20.0"
+pillow = ">=8"
+pyparsing = ">=2.3.1"
+python-dateutil = ">=2.7"
+
 [[package]]
 name = "matplotlib-inline"
 version = "0.1.6"
@@ -1643,6 +1947,30 @@ files = [
     {file = "nest_asyncio-1.6.0.tar.gz", hash = "sha256:6f172d5449aca15afd6c646851f4e31e02c598d553a667e38cafa997cfec55fe"},
 ]
 
+[[package]]
+name = "networkx"
+version = "3.3"
+description = "Python package for creating and manipulating graphs and networks"
+optional = false
+python-versions = ">=3.10"
+files = [
+    {file = "networkx-3.3-py3-none-any.whl", hash = "sha256:28575580c6ebdaf4505b22c6256a2b9de86b316dc63ba9e93abde3d78dfdbcf2"},
+    {file = "networkx-3.3.tar.gz", hash = "sha256:0c127d8b2f4865f59ae9cb8aafcd60b5c70f3241ebd66f7defad7c4ab90126c9"},
+]
+
+[package.dependencies]
+matplotlib = {version = ">=3.6", optional = true, markers = "extra == \"default\""}
+numpy = {version = ">=1.23", optional = true, markers = "extra == \"default\""}
+pandas = {version = ">=1.4", optional = true, markers = "extra == \"default\""}
+scipy = {version = ">=1.9,<1.11.0 || >1.11.0,<1.11.1 || >1.11.1", optional = true, markers = "extra == \"default\""}
+
+[package.extras]
+default = ["matplotlib (>=3.6)", "numpy (>=1.23)", "pandas (>=1.4)", "scipy (>=1.9,!=1.11.0,!=1.11.1)"]
+developer = ["changelist (==0.5)", "mypy (>=1.1)", "pre-commit (>=3.2)", "rtoml"]
+doc = ["myst-nb (>=1.0)", "numpydoc (>=1.7)", "pillow (>=9.4)", "pydata-sphinx-theme (>=0.14)", "sphinx (>=7)", "sphinx-gallery (>=0.14)", "texext (>=0.6.7)"]
+extra = ["lxml (>=4.6)", "pydot (>=2.0)", "pygraphviz (>=1.12)", "sympy (>=1.10)"]
+test = ["pytest (>=7.2)", "pytest-cov (>=4.0)"]
+
 [[package]]
 name = "numpy"
 version = "1.26.4"
@@ -2300,6 +2628,20 @@ files = [
 plugins = ["importlib-metadata"]
 windows-terminal = ["colorama (>=0.4.6)"]
 
+[[package]]
+name = "pyparsing"
+version = "3.1.2"
+description = "pyparsing module - Classes and methods to define and execute parsing grammars"
+optional = false
+python-versions = ">=3.6.8"
+files = [
+    {file = "pyparsing-3.1.2-py3-none-any.whl", hash = "sha256:f9db75911801ed778fe61bb643079ff86601aca99fcae6345aa67292038fb742"},
+    {file = "pyparsing-3.1.2.tar.gz", hash = "sha256:a1bac0ce561155ecc3ed78ca94d3c9378656ad4c94c1270de543f621420f94ad"},
+]
+
+[package.extras]
+diagrams = ["jinja2", "railroad-diagrams"]
+
 [[package]]
 name = "pytest"
 version = "8.1.1"
@@ -2854,6 +3196,48 @@ files = [
     {file = "ruff-0.3.4.tar.gz", hash = "sha256:f0f4484c6541a99862b693e13a151435a279b271cff20e37101116a21e2a1ad1"},
 ]
 
+[[package]]
+name = "scipy"
+version = "1.13.0"
+description = "Fundamental algorithms for scientific computing in Python"
+optional = false
+python-versions = ">=3.9"
+files = [
+    {file = "scipy-1.13.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ba419578ab343a4e0a77c0ef82f088238a93eef141b2b8017e46149776dfad4d"},
+    {file = "scipy-1.13.0-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:22789b56a999265431c417d462e5b7f2b487e831ca7bef5edeb56efe4c93f86e"},
+    {file = "scipy-1.13.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:05f1432ba070e90d42d7fd836462c50bf98bd08bed0aa616c359eed8a04e3922"},
+    {file = "scipy-1.13.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b8434f6f3fa49f631fae84afee424e2483289dfc30a47755b4b4e6b07b2633a4"},
+    {file = "scipy-1.13.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:dcbb9ea49b0167de4167c40eeee6e167caeef11effb0670b554d10b1e693a8b9"},
+    {file = "scipy-1.13.0-cp310-cp310-win_amd64.whl", hash = "sha256:1d2f7bb14c178f8b13ebae93f67e42b0a6b0fc50eba1cd8021c9b6e08e8fb1cd"},
+    {file = "scipy-1.13.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:0fbcf8abaf5aa2dc8d6400566c1a727aed338b5fe880cde64907596a89d576fa"},
+    {file = "scipy-1.13.0-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:5e4a756355522eb60fcd61f8372ac2549073c8788f6114449b37e9e8104f15a5"},
+    {file = "scipy-1.13.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b5acd8e1dbd8dbe38d0004b1497019b2dbbc3d70691e65d69615f8a7292865d7"},
+    {file = "scipy-1.13.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9ff7dad5d24a8045d836671e082a490848e8639cabb3dbdacb29f943a678683d"},
+    {file = "scipy-1.13.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:4dca18c3ffee287ddd3bc8f1dabaf45f5305c5afc9f8ab9cbfab855e70b2df5c"},
+    {file = "scipy-1.13.0-cp311-cp311-win_amd64.whl", hash = "sha256:a2f471de4d01200718b2b8927f7d76b5d9bde18047ea0fa8bd15c5ba3f26a1d6"},
+    {file = "scipy-1.13.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:d0de696f589681c2802f9090fff730c218f7c51ff49bf252b6a97ec4a5d19e8b"},
+    {file = "scipy-1.13.0-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:b2a3ff461ec4756b7e8e42e1c681077349a038f0686132d623fa404c0bee2551"},
+    {file = "scipy-1.13.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6bf9fe63e7a4bf01d3645b13ff2aa6dea023d38993f42aaac81a18b1bda7a82a"},
+    {file = "scipy-1.13.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1e7626dfd91cdea5714f343ce1176b6c4745155d234f1033584154f60ef1ff42"},
+    {file = "scipy-1.13.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:109d391d720fcebf2fbe008621952b08e52907cf4c8c7efc7376822151820820"},
+    {file = "scipy-1.13.0-cp312-cp312-win_amd64.whl", hash = "sha256:8930ae3ea371d6b91c203b1032b9600d69c568e537b7988a3073dfe4d4774f21"},
+    {file = "scipy-1.13.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:5407708195cb38d70fd2d6bb04b1b9dd5c92297d86e9f9daae1576bd9e06f602"},
+    {file = "scipy-1.13.0-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:ac38c4c92951ac0f729c4c48c9e13eb3675d9986cc0c83943784d7390d540c78"},
+    {file = "scipy-1.13.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:09c74543c4fbeb67af6ce457f6a6a28e5d3739a87f62412e4a16e46f164f0ae5"},
+    {file = "scipy-1.13.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:28e286bf9ac422d6beb559bc61312c348ca9b0f0dae0d7c5afde7f722d6ea13d"},
+    {file = "scipy-1.13.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:33fde20efc380bd23a78a4d26d59fc8704e9b5fd9b08841693eb46716ba13d86"},
+    {file = "scipy-1.13.0-cp39-cp39-win_amd64.whl", hash = "sha256:45c08bec71d3546d606989ba6e7daa6f0992918171e2a6f7fbedfa7361c2de1e"},
+    {file = "scipy-1.13.0.tar.gz", hash = "sha256:58569af537ea29d3f78e5abd18398459f195546bb3be23d16677fb26616cc11e"},
+]
+
+[package.dependencies]
+numpy = ">=1.22.4,<2.3"
+
+[package.extras]
+dev = ["cython-lint (>=0.12.2)", "doit (>=0.36.0)", "mypy", "pycodestyle", "pydevtool", "rich-click", "ruff", "types-psutil", "typing_extensions"]
+doc = ["jupyterlite-pyodide-kernel", "jupyterlite-sphinx (>=0.12.0)", "jupytext", "matplotlib (>=3.5)", "myst-nb", "numpydoc", "pooch", "pydata-sphinx-theme (>=0.15.2)", "sphinx (>=5.0.0)", "sphinx-design (>=0.4.0)"]
+test = ["array-api-strict", "asv", "gmpy2", "hypothesis (>=6.30)", "mpmath", "pooch", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"]
+
 [[package]]
 name = "six"
 version = "1.16.0"
@@ -3668,4 +4052,4 @@ scrollable-textbox = []
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.11"
-content-hash = "dd9c879b087272ea9a6da28f0d900fb02e74ac947f934b4067378159c6807e91"
+content-hash = "f12984b44dc6f41d1d0ccf4a8df53bd6113b2fa3381af1894007f8d8f070a03c"
diff --git a/pyproject.toml b/pyproject.toml
index 10f909fc..0fad71b8 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "personal-graph"
-version = "0.1.7"
+version = "0.1.8"
 description = "Graph database in LibSQL"
 authors = ["Anubhuti Bhardwaj <anubhutibhardwaj11@gmail.com>"]
 license = "MIT"
@@ -27,6 +27,7 @@ streamlit = "^1.33.0"
 types-pygments = "^2.17.0.20240310"
 types-decorator = "^5.1.8.20240310"
 dspy-ai = "^2.4.5"
+networkx = {extras = ["default"], version = "^3.3"}
 
 [tool.poetry.dev-dependencies]
 pytest = "^8.1.1"
diff --git a/scripts/kgchat.py b/scripts/kgchat.py
index 6c712a3d..3e8f9fd6 100644
--- a/scripts/kgchat.py
+++ b/scripts/kgchat.py
@@ -229,11 +229,12 @@ def main():
             with st.status("Generating response..."):
                 is_unique = graph.is_unique_prompt(prompt, 0.6)
                 if is_unique and kg:
-                    sub_graph = graph.insert(prompt)
-                    for sg_node in sub_graph.nodes:
+                    question_graph = graph.insert(prompt)
+                    sub_graph = graph.search_query(response.answer)
+                    for sg_node in question_graph.nodes:
                         kg.nodes.append(sg_node)
 
-                    for sg_edge in sub_graph.edges:
+                    for sg_edge in question_graph.edges:
                         kg.edges.append(sg_edge)
 
                     # Update the backstory with the new prompt
@@ -250,7 +251,7 @@ def main():
                     st.graphviz_chart(graph.visualize_graph(sub_graph))
 
                 else:
-                    sub_graph = graph.search_query(prompt)
+                    sub_graph = graph.search_query(response.answer)
                     st.graphviz_chart(graph.visualize_graph(sub_graph))
                     st.sidebar.graphviz_chart(graph.visualize_graph(kg))
                     for idx, context in enumerate(
diff --git a/personal_graph/tests/__init__.py b/tests/__init__.py
similarity index 100%
rename from personal_graph/tests/__init__.py
rename to tests/__init__.py
diff --git a/personal_graph/tests/conftest.py b/tests/conftest.py
similarity index 80%
rename from personal_graph/tests/conftest.py
rename to tests/conftest.py
index 76c86751..3bc3ed1c 100644
--- a/personal_graph/tests/conftest.py
+++ b/tests/conftest.py
@@ -1,7 +1,8 @@
 import pytest
 from unittest.mock import patch
 
-from personal_graph.models import KnowledgeGraph, Node, Edge
+from personal_graph.graph import Graph
+from personal_graph.models import KnowledgeGraph, Node, Edge, EdgeInput
 
 
 @pytest.fixture
@@ -82,3 +83,18 @@ def mock_generate_graph():
         "personal_graph.natural.generate_graph", return_value=mock_knowledge_graph
     ):
         yield mock_knowledge_graph
+
+
+@pytest.fixture
+def mock_personal_graph(mock_atomic, mock_db_connection_and_cursor):
+    graph = Graph()
+
+    node1 = Node(id=1, label="Sample Label", attributes={"Person": "scholar"})
+    node2 = Node(id=2, label="Researching", attributes={"University": "Stanford"})
+    graph.add_nodes([node1, node2])
+
+    edge1 = EdgeInput(
+        source=node1, target=node2, label="has", attributes={"Person": "University"}
+    )
+    graph.add_edge(edge1)
+    yield graph
diff --git a/personal_graph/tests/test_database.py b/tests/test_database.py
similarity index 100%
rename from personal_graph/tests/test_database.py
rename to tests/test_database.py
diff --git a/personal_graph/tests/test_graph.py b/tests/test_graph.py
similarity index 100%
rename from personal_graph/tests/test_graph.py
rename to tests/test_graph.py
diff --git a/tests/test_ml.py b/tests/test_ml.py
new file mode 100644
index 00000000..c0f47cbc
--- /dev/null
+++ b/tests/test_ml.py
@@ -0,0 +1,29 @@
+import json
+import networkx as nx  # type: ignore
+from personal_graph.ml import to_networkx, from_networkx
+import personal_graph.graph as pg
+
+
+def test_to_networkx(mock_personal_graph, mock_atomic, mock_db_connection_and_cursor):
+    networkx_graph = to_networkx(mock_personal_graph)
+
+    # Check if the returned object is a NetworkX graph
+    assert isinstance(networkx_graph, nx.Graph)
+
+
+def test_from_networkx(mock_personal_graph, mock_atomic, mock_db_connection_and_cursor):
+    networkx_graph = nx.Graph()
+    networkx_graph.add_node(
+        "1", label="Sample Label", attribute=json.dumps({"Person": "scholar"})
+    )
+    networkx_graph.add_node(
+        "2", label="Researching", attribute=json.dumps({"University": "Stanford"})
+    )
+    networkx_graph.add_edge(
+        "1", "2", label="has", attribute=json.dumps({"Person": "University"})
+    )
+
+    personal_graph = from_networkx(networkx_graph)
+
+    # Check if the returned object is a Personal Graph
+    assert isinstance(personal_graph, pg.Graph)
diff --git a/personal_graph/tests/test_natural.py b/tests/test_natural.py
similarity index 100%
rename from personal_graph/tests/test_natural.py
rename to tests/test_natural.py
diff --git a/personal_graph/tests/test_visualizers.py b/tests/test_visualizers.py
similarity index 100%
rename from personal_graph/tests/test_visualizers.py
rename to tests/test_visualizers.py