Graph memory example does not store memories in Neo4j

[except-pass]

What happened:
In the Graph memory example notebook (https://colab.research.google.com/drive/1PfIGVHnliIlG2v8cx0g45TF0US-jRPZ1?usp=sharing) attempting to add a memory throws this error

m.add("I like painting", user_id=user_id), display_graph()

WARNING:neo4j.notifications:Received notification from DBMS server: {severity: WARNING} {code: Neo.ClientNotification.Statement.UnknownPropertyKeyWarning} {category: UNRECOGNIZED} {title: The provided property key is not in the database} {description: One of the property names in your query is not available in the database, make sure you didn't misspell it or that the label is available when you run this statement in your application (the missing property name is: embedding)} {position: line: 16, column: 84, offset: 1070} for query: '\n            MATCH (n)\n            WHERE n.embedding IS NOT NULL AND n.user_id = $user_id\n            WITH n, \n                round(reduce(dot = 0.0, i IN range(0, size(n.embedding)-1) | dot + n.embedding[i] * $n_embedding[i]) / \n                (sqrt(reduce(l2 = 0.0, i IN range(0, size(n.embedding)-1) | l2 + n.embedding[i] * n.embedding[i])) * \n                sqrt(reduce(l2 = 0.0, i IN range(0, size($n_embedding)-1) | l2 + $n_embedding[i] * $n_embedding[i]))), 4) AS similarity\n            WHERE similarity >= $threshold\n            MATCH (n)-[r]->(m)\n            RETURN n.name AS source, elementId(n) AS source_id, type(r) AS relation, elementId(r) AS relation_id, m.name AS destination, elementId(m) AS destination_id, similarity\n            UNION\n            MATCH (n)\n            WHERE n.embedding IS NOT NULL AND n.user_id = $user_id\n            WITH n, \n                round(reduce(dot = 0.0, i IN range(0, size(n.embedding)-1) | dot + n.embedding[i] * $n_embedding[i]) / \n                (sqrt(reduce(l2 = 0.0, i IN range(0, size(n.embedding)-1) | l2 + n.embedding[i] * n.embedding[i])) * \n                sqrt(reduce(l2 = 0.0, i IN range(0, size($n_embedding)-1) | l2 + $n_embedding[i] * $n_embedding[i]))), 4) AS similarity\n            WHERE similarity >= $threshold\n            MATCH (m)-[r]->(n)\n            RETURN m.name AS source, elementId(m) AS source_id, type(r) AS relation, elementId(r) AS relation_id, n.name AS destination, elementId(n) AS destination_id, similarity\n            ORDER BY similarity DESC\n            '

How to recreate:
I am running Mem0 locally with a Neo4j docker container. My neo4j container is

services:
  neo4j:
    container_name: neo4j
    image: neo4j:latest 
    ports:
      - 7474:7474
      - 7687:7687
    environment:
      - NEO4J_AUTH=neo4j/${NEO4J_PASSWORD}
      - NEO4J_apoc_export_file_enabled=true
      - NEO4J_apoc_import_file_enabled=true
      - NEO4J_apoc_import_file_use__neo4j__config=true
      - NEO4J_PLUGINS=["apoc", "graph-data-science"]
    volumes:
      - ./neo4j_db/data:/data
      - ./neo4j_db/logs:/logs
      - ./neo4j_db/import:/var/lib/neo4j/import
      - ./neo4j_db/plugins:/plugins

My pip freeze is

aiohappyeyeballs==2.4.0
aiohttp==3.10.6
aiosignal==1.3.1
annotated-types==0.7.0
anyio==4.6.0
asttokens==2.4.1
async-timeout==4.0.3
attrs==24.2.0
backoff==2.2.1
certifi==2024.8.30
charset-normalizer==3.3.2
comm==0.2.2
contourpy==1.3.0
cycler==0.12.1
dataclasses-json==0.6.7
debugpy==1.8.6
decorator==5.1.1
distro==1.9.0
exceptiongroup==1.2.2
executing==2.1.0
fonttools==4.54.1
frozenlist==1.4.1
grandalf==0.8
greenlet==3.1.1
grpcio==1.66.1
grpcio-tools==1.66.1
h11==0.14.0
h2==4.1.0
hpack==4.0.0
httpcore==1.0.5
httpx==0.27.2
hyperframe==6.0.1
idna==3.10
interchange==2021.0.4
ipykernel==6.29.5
ipython==8.27.0
jedi==0.19.1
jiter==0.5.0
jsonpatch==1.33
jsonpointer==3.0.0
jupyter_client==8.6.3
jupyter_core==5.7.2
kiwisolver==1.4.7
langchain==0.2.16
langchain-community==0.2.17
langchain-core==0.2.41
langchain-text-splitters==0.2.4
langsmith==0.1.128
marshmallow==3.22.0
matplotlib==3.9.2
matplotlib-inline==0.1.7
mem0ai==0.1.16
monotonic==1.6
multidict==6.1.0
mypy-extensions==1.0.0
neo4j==5.24.0
nest-asyncio==1.6.0
netgraph==4.13.2
networkx==3.3
numpy==1.26.4
openai==1.48.0
orjson==3.10.7
packaging==24.1
pansi==2020.7.3
parso==0.8.4
pexpect==4.9.0
pillow==10.4.0
platformdirs==4.3.6
portalocker==2.10.1
posthog==3.6.6
prompt_toolkit==3.0.48
protobuf==5.28.2
psutil==6.0.0
ptyprocess==0.7.0
pure_eval==0.2.3
py2neo==2021.2.4
pydantic==2.9.2
pydantic_core==2.23.4
Pygments==2.18.0
pyparsing==3.1.4
python-dateutil==2.9.0.post0
python-dotenv==1.0.1
pytz==2024.2
PyYAML==6.0.2
pyzmq==26.2.0
qdrant-client==1.11.3
rank-bm25==0.2.2
rectangle-packer==2.0.2
requests==2.32.3
scipy==1.14.1
six==1.16.0
sniffio==1.3.1
SQLAlchemy==2.0.35
stack-data==0.6.3
tenacity==8.5.0
tornado==6.4.1
tqdm==4.66.5
traitlets==5.14.3
typing-inspect==0.9.0
typing_extensions==4.12.2
urllib3==2.2.3
wcwidth==0.2.13
yarl==1.12.1

[except-pass]

Sorry. Moved to Issues