diff --git a/poetry.lock b/poetry.lock
index 7221efad..1861ba01 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1334,13 +1334,13 @@ test = ["objgraph", "psutil"]
 
 [[package]]
 name = "grpc-google-iam-v1"
-version = "0.13.1"
+version = "0.14.0"
 description = "IAM API client library"
 optional = true
 python-versions = ">=3.7"
 files = [
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-    {file = "grpc_google_iam_v1-0.13.1-py2.py3-none-any.whl", hash = "sha256:c3e86151a981811f30d5e7330f271cee53e73bb87755e88cc3b6f0c7b5fe374e"},
+    {file = "grpc_google_iam_v1-0.14.0-py2.py3-none-any.whl", hash = "sha256:fb4a084b30099ba3ab07d61d620a0d4429570b13ff53bd37bac75235f98b7da4"},
+    {file = "grpc_google_iam_v1-0.14.0.tar.gz", hash = "sha256:c66e07aa642e39bb37950f9e7f491f70dad150ac9801263b42b2814307c2df99"},
 ]
 
 [package.dependencies]
@@ -1961,13 +1961,13 @@ langchain-core = ">=0.3.26,<0.4.0"
 
 [[package]]
 name = "langsmith"
-version = "0.2.6"
+version = "0.2.7"
 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
 optional = true
 python-versions = "<4.0,>=3.9"
 files = [
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-    {file = "langsmith-0.2.6.tar.gz", hash = "sha256:ceb4ae2330bf87e40dccb0750c570d7b3bd6cd1f890db6b744bf62badca3077b"},
+    {file = "langsmith-0.2.7-py3-none-any.whl", hash = "sha256:ae7a0620e9fc4da2b2e4ef7beccdadb0f9009cca0fd71ac08d372660639e2fab"},
+    {file = "langsmith-0.2.7.tar.gz", hash = "sha256:0996d12622b56ff21414ab8b5c16cbe3ff389a3668fa3fd1d82475bd57e5bc9e"},
 ]
 
 [package.dependencies]
@@ -2505,43 +2505,49 @@ typing-extensions = {version = ">=4.1.0", markers = "python_version < \"3.11\""}
 
 [[package]]
 name = "mypy"
-version = "1.14.0"
+version = "1.14.1"
 description = "Optional static typing for Python"
 optional = false
 python-versions = ">=3.8"
 files = [
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 [package.dependencies]
@@ -3088,93 +3094,89 @@ dev = ["jinja2"]
 
 [[package]]
 name = "pillow"
-version = "11.0.0"
+version = "11.1.0"
 description = "Python Imaging Library (Fork)"
 optional = true
 python-versions = ">=3.9"
 files = [
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 ]
 
 [package.extras]
@@ -4142,7 +4049,7 @@ jax = ["flax (>=0.6.3)", "jax (>=0.3.25)", "jaxlib (>=0.3.25)", "safetensors[num
 mlx = ["mlx (>=0.0.9)"]
 numpy = ["numpy (>=1.21.6)"]
 paddlepaddle = ["paddlepaddle (>=2.4.1)", "safetensors[numpy]"]
-pinned-tf = ["safetensors[numpy]", "tensorflow (==2.11.0)"]
+pinned-tf = ["safetensors[numpy]", "tensorflow (==2.18.0)"]
 quality = ["black (==22.3)", "click (==8.0.4)", "flake8 (>=3.8.3)", "isort (>=5.5.4)"]
 tensorflow = ["safetensors[numpy]", "tensorflow (>=2.11.0)"]
 testing = ["h5py (>=3.7.0)", "huggingface-hub (>=0.12.1)", "hypothesis (>=6.70.2)", "pytest (>=7.2.0)", "pytest-benchmark (>=4.0.0)", "safetensors[numpy]", "setuptools-rust (>=1.5.2)"]
diff --git a/tests/e2e/conftest.py b/tests/e2e/conftest.py
index 42c21cf8..9932f12e 100644
--- a/tests/e2e/conftest.py
+++ b/tests/e2e/conftest.py
@@ -212,8 +212,10 @@ def setup_neo4j_for_kg_construction(driver: Driver) -> None:
 
 
 @pytest.fixture(scope="module")
-@pytest.mark.usefixtures("setup_neo4j_for_kg_construction")
-def setup_neo4j_for_kg_construction_with_chunks(driver: Driver) -> None:
+def setup_neo4j_for_kg_construction_with_chunks(
+    driver: Driver,
+    setup_neo4j_for_kg_construction: Any,
+) -> None:
     driver.execute_query("MATCH (n) DETACH DELETE n")
     driver.execute_query('CREATE (:Chunk {id: "0", index: 0, text: "some text"})')
     driver.execute_query(
diff --git a/tests/e2e/test_simplekgpipeline_e2e.py b/tests/e2e/test_simplekgpipeline_e2e.py
index 25f61721..65eb9e59 100644
--- a/tests/e2e/test_simplekgpipeline_e2e.py
+++ b/tests/e2e/test_simplekgpipeline_e2e.py
@@ -20,6 +20,10 @@
 import neo4j
 import pytest
 from neo4j import Driver
+
+from neo4j_graphrag.experimental.components.text_splitters.fixed_size_splitter import (
+    FixedSizeSplitter,
+)
 from neo4j_graphrag.experimental.components.types import LexicalGraphConfig
 from neo4j_graphrag.experimental.pipeline.kg_builder import SimpleKGPipeline
 from neo4j_graphrag.llm import LLMResponse
@@ -178,6 +182,8 @@ async def test_pipeline_builder_two_documents(
         driver=driver,
         embedder=embedder,
         from_pdf=False,
+        # in order to have 2 chunks:
+        text_splitter=FixedSizeSplitter(chunk_size=400, chunk_overlap=5),
     )
 
     # Run the knowledge graph building process with text input
@@ -185,10 +191,17 @@ async def test_pipeline_builder_two_documents(
     await kg_builder_text.run_async(text=harry_potter_text_part2)
 
     # check graph content
-    records, _, _ = driver.execute_query("MATCH (n) RETURN n")
-    print(records)
+    # check lexical graph content
+    records, _, _ = driver.execute_query(
+        "MATCH (start:Chunk)-[rel:NEXT_CHUNK]->(end:Chunk) RETURN start, rel, end"
+    )
+    assert len(records) == 2  # one for each run
 
-    assert False
+    # check entity -> chunk relationships
+    records, _, _ = driver.execute_query(
+        "MATCH (chunk:Chunk)<-[rel:FROM_CHUNK]-(entity:__Entity__) RETURN chunk, rel, entity"
+    )
+    assert len(records) == 2  # two entities according to mocked LLMResponse
 
 
 @pytest.mark.asyncio
@@ -249,14 +262,22 @@ async def test_pipeline_builder_same_document_two_runs(
         driver=driver,
         embedder=embedder,
         from_pdf=False,
+        # in order to have 2 chunks:
+        text_splitter=FixedSizeSplitter(chunk_size=400, chunk_overlap=5),
     )
 
     # Run the knowledge graph building process with text input
     await kg_builder_text.run_async(text=harry_potter_text_part1)
     await kg_builder_text.run_async(text=harry_potter_text_part1)
 
-    # check graph content
-    records, _, _ = driver.execute_query("MATCH (n) RETURN n")
-    print(records)
+    # check lexical graph content
+    records, _, _ = driver.execute_query(
+        "MATCH (start:Chunk)-[rel:NEXT_CHUNK]->(end:Chunk) RETURN start, rel, end"
+    )
+    assert len(records) == 2  # one for each run
 
-    assert False
+    # check entity -> chunk relationships
+    records, _, _ = driver.execute_query(
+        "MATCH (chunk:Chunk)<-[rel:FROM_CHUNK]-(entity:__Entity__) RETURN chunk, rel, entity"
+    )
+    assert len(records) == 2  # two entities according to mocked LLMResponse