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• I have updated to the latest version of the packages.
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neo4j-graphrag-python's version

1.12.0

Python version

3.12.10

Operating System

Windows 11

Dependencies

accelerate==1.12.0
annotated-types==0.7.0
antlr4-python3-runtime==4.9.3
anyio==4.12.1
attrs==25.4.0
beautifulsoup4==4.14.3
blis==1.3.3
catalogue==2.0.10
certifi==2026.1.4
charset-normalizer==3.4.4
click==8.3.1
cloudpathlib==0.23.0
colorama==0.4.6
colorlog==6.10.1
confection==0.1.5
cymem==2.0.13
dill==0.4.1
distro==1.9.0
docling==2.70.0
docling-core==2.61.0
docling-ibm-models==3.11.0
docling-parse==4.7.3
en_core_web_lg @ https://github.com/explosion/spacy-models/releases/download/en_core_web_lg-3.8.0/en_core_web_lg-3.8.0-py3-none-any.whl#sha256=293e9547a655b25499198ab15a525b05b9407a75f10255e405e8c3854329ab63
et_xmlfile==2.0.0
Faker==40.1.2
filelock==3.20.3
filetype==1.2.0
fsspec==2024.12.0
greenlet==3.3.1
h11==0.16.0
httpcore==1.0.9
httpx==0.28.1
huggingface-hub==0.36.0
idna==3.11
Jinja2==3.1.6
jiter==0.12.0
joblib==1.5.3
json_repair==0.44.1
jsonlines==4.0.0
jsonpatch==1.33
jsonpointer==3.0.0
jsonref==1.1.0
jsonschema==4.26.0
jsonschema-specifications==2025.9.1
langchain-classic==1.0.1
langchain-core==1.2.7
langchain-neo4j==0.8.0
langchain-openai==1.1.7
langchain-text-splitters==1.1.0
langcodes==3.5.1
langdetect==1.0.9
langgraph==1.0.7
langgraph-checkpoint==4.0.0
langgraph-prebuilt==1.0.7
langgraph-sdk==0.3.3
langsmith==0.6.6
latex2mathml==3.78.1
lxml==6.0.2
markdown-it-py==4.0.0
marko==2.2.2
MarkupSafe==3.0.3
mdurl==0.1.2
mpire==2.10.2
mpmath==1.3.0
multiprocess==0.70.19
murmurhash==1.0.15
neo4j==6.1.0
neo4j-graphrag==1.12.0
networkx==3.6.1
nltk==3.9.2
numpy==2.4.1
omegaconf==2.3.0
openai==2.16.0
opencv-python==4.13.0.90
openpyxl==3.1.5
orjson==3.11.5
ormsgpack==1.12.2
packaging==25.0
pandas==2.3.3
pillow==11.3.0
pluggy==1.6.0
polyfactory==3.2.0
preshed==3.0.12
psutil==7.2.2
pyclipper==1.4.0
pydantic==2.12.5
pydantic-settings==2.12.0
pydantic_core==2.41.5
Pygments==2.19.2
pylatexenc==2.10
pypdf==6.6.2
pypdfium2==5.3.0
python-dateutil==2.9.0.post0
python-docx==1.2.0
python-dotenv==1.2.1
python-pptx==1.0.2
pytz==2025.2
pywin32==311
PyYAML==6.0.3
rapidocr==3.6.0
referencing==0.37.0
regex==2026.1.15
reportlab==4.4.9
requests==2.32.5
requests-toolbelt==1.0.0
rich==14.3.1
rpds-py==0.30.0
rtree==1.4.1
safetensors==0.7.0
scipy==1.17.0
semchunk==2.2.2
setuptools==80.10.2
shapely==2.1.2
shellingham==1.5.4
six==1.17.0
smart_open==7.5.0
sniffio==1.3.1
soupsieve==2.8.3
spacy==3.8.7
spacy-legacy==3.0.12
spacy-loggers==1.0.5
SQLAlchemy==2.0.46
srsly==2.5.2
sympy==1.14.0
tabulate==0.9.0
tenacity==9.1.2
thinc==8.3.10
tiktoken==0.12.0
tokenizers==0.22.2
torch==2.10.0
torchvision==0.25.0
tqdm==4.67.1
transformers==4.57.6
tree-sitter==0.25.2
tree-sitter-c==0.24.1
tree-sitter-javascript==0.25.0
tree-sitter-python==0.25.0
tree-sitter-typescript==0.23.2
typer==0.19.2
typer-slim==0.21.1
types-PyYAML==6.0.12.20250915
typing-inspection==0.4.2
typing_extensions==4.15.0
tzdata==2025.3
urllib3==2.6.3
uuid_utils==0.14.0
wasabi==1.1.3
weasel==0.4.3
wrapt==2.0.1
xlsxwriter==3.2.9
xxhash==3.6.0
zstandard==0.25.0

Reproducible example

config_lexical_graph = LexicalGraphConfig(
            chunk_node_label="Chunk",
            document_node_label="Document",
            chunk_to_document_relationship_type="OF_DOCUMENT", 
            next_chunk_relationship_type="NEXT",
            node_to_chunk_relationship_type="FROM_CHUNK",       
            chunk_text_property="text",                          
            chunk_index_property="chunk_id",
            chunk_id_property="chunk_id",
            chunk_embedding_property="embedding",
            
        )
    reader = Neo4jChunkReader(driver)
    chunks = await reader.run(lexical_graph_config=config_lexical_graph)

    # Inicializar extractor LLM
    extractor = LLMEntityRelationExtractor(
        llm=AzureOpenAILLM(
            azure_endpoint= #my info
            api_key= #my info
            api_version= #my info
            model_name= #my info
            model_params={
                "max_completion_tokens": 5000,
                "response_format": {"type": "json_object"},
            },
        ),
        prompt_template= prompt_template,
        create_lexical_graph=False,
        on_error=OnError.RAISE,
    )
    
    graph = await extractor.run(chunks=chunks, lexical_graph_config=config_lexical_graph)

    writer = Neo4jWriter(driver)
    await writer.run(graph=graph, lexical_graph_config=config_lexical_graph)

Relevant Log Output

It does not appear any error in the terminal, but when i open my neo4j graph on desktop the relationships between entities and chunks dont exist

Expected Result

I expected to have Entities related (I have them) and relationships between this entites and my chunks (dont appear)

What happened instead?

No response

Additional Info

No response