diff --git a/.github/workflows/pr-e2e-tests.yaml b/.github/workflows/pr-e2e-tests.yaml
index bd50770d..18e8608c 100644
--- a/.github/workflows/pr-e2e-tests.yaml
+++ b/.github/workflows/pr-e2e-tests.yaml
@@ -49,8 +49,6 @@ jobs:
           - 6333:6333
 
     steps:
-      - name: Install graphviz package
-        run: sudo apt install graphviz graphviz-dev
       - name: Check out repository code
         uses: actions/checkout@v4
       - name: Docker Prune
diff --git a/.github/workflows/pr.yaml b/.github/workflows/pr.yaml
index 19c92be0..91fbea6a 100644
--- a/.github/workflows/pr.yaml
+++ b/.github/workflows/pr.yaml
@@ -8,8 +8,6 @@ jobs:
       matrix:
         python-version: [ '3.9', '3.10', '3.11', '3.12' ]
     steps:
-      - name: Install graphviz package
-        run: sudo apt install graphviz graphviz-dev
       - name: Check out repository code
         uses: actions/checkout@v4
       - name: Set up Python ${{ matrix.python-version }}
diff --git a/.github/workflows/scheduled-e2e-tests.yaml b/.github/workflows/scheduled-e2e-tests.yaml
index 16b061ce..0d8822fc 100644
--- a/.github/workflows/scheduled-e2e-tests.yaml
+++ b/.github/workflows/scheduled-e2e-tests.yaml
@@ -57,8 +57,6 @@ jobs:
           - 6333:6333
 
     steps:
-      - name: Install graphviz package
-        run: sudo apt install graphviz graphviz-dev
       - name: Check out repository code
         uses: actions/checkout@v4
       - name: Docker Prune
diff --git a/CHANGELOG.md b/CHANGELOG.md
index 3aaf3660..b149f2d4 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -13,6 +13,9 @@
 ### Changed
 
 - Improved log output readability in Retrievers and GraphRAG and added embedded vector to retriever result metadata for debugging.
+-   Switched from pygraphviz to neo4j-viz
+    -   Renders interactive graph now on HTML instead of PNG
+    -   Removed `get_pygraphviz_graph` method
 
 ### Fixed
 
diff --git a/README.md b/README.md
index 3c2634d9..60677256 100644
--- a/README.md
+++ b/README.md
@@ -59,7 +59,6 @@ the extra dependencies described below:
     - **pinecone**: store vectors in Pinecone
     - **qdrant**: store vectors in Qdrant
 - **experimental**: experimental features mainly related to the Knowledge Graph creation pipelines.
-    - Warning: this dependency group requires `pygraphviz`. See below for installation instructions.
 
 
 Install package with optional dependencies with (for instance):
@@ -68,11 +67,6 @@ Install package with optional dependencies with (for instance):
 pip install "neo4j-graphrag[openai]"
 ```
 
-#### pygraphviz
-
-`pygraphviz` is used for visualizing pipelines.
-Installation instructions can be found [here](https://pygraphviz.github.io/documentation/stable/install.html).
-
 ## 💻 Example Usage
 
 The scripts below demonstrate how to get started with the package and make use of its key features.
diff --git a/docs/source/index.rst b/docs/source/index.rst
index 52fb68dd..d6700ef5 100644
--- a/docs/source/index.rst
+++ b/docs/source/index.rst
@@ -98,7 +98,6 @@ List of extra dependencies:
     - **pinecone**: store vectors in Pinecone
     - **qdrant**: store vectors in Qdrant
 - **experimental**: experimental features mainly from the Knowledge Graph creation pipelines.
-    - Warning: this requires `pygraphviz`. Installation instructions can be found `here <https://pygraphviz.github.io/documentation/stable/install.html>`_.
 - nlp:
    - **spaCy**: load spaCy trained models for nlp pipelines, used by `SpaCySemanticMatchResolver` component from the Knowledge Graph creation pipelines.
 - fuzzy-matching:
diff --git a/docs/source/user_guide_pipeline.rst b/docs/source/user_guide_pipeline.rst
index 703e48ab..297db2a8 100644
--- a/docs/source/user_guide_pipeline.rst
+++ b/docs/source/user_guide_pipeline.rst
@@ -111,25 +111,26 @@ Pipelines can be visualized using the `draw` method:
     pipe = Pipeline()
     # ... define components and connections
 
-    pipe.draw("pipeline.png")
+    pipe.draw("pipeline.html")
 
-Here is an example pipeline rendering:
+Here is an example pipeline rendering as an interactive HTML visualization:
 
-.. image:: images/pipeline_no_unused_outputs.png
-  :alt: Pipeline visualisation with hidden outputs if unused
+.. code:: python
 
+    # To view the visualization in a browser
+    import webbrowser
+    webbrowser.open("pipeline.html")
 
 By default, output fields which are not mapped to any component are hidden. They
-can be added to the canvas by setting `hide_unused_outputs` to `False`:
+can be added to the visualization by setting `hide_unused_outputs` to `False`:
 
 .. code:: python
 
-    pipe.draw("pipeline.png", hide_unused_outputs=False)
-
-Here is an example of final result:
-
-.. image:: images/pipeline_full.png
-  :alt: Pipeline visualisation
+    pipe.draw("pipeline_full.html", hide_unused_outputs=False)
+    
+    # To view the full visualization in a browser
+    import webbrowser
+    webbrowser.open("pipeline_full.html")
 
 
 ************************
diff --git a/examples/customize/build_graph/pipeline/visualization.py b/examples/customize/build_graph/pipeline/visualization.py
index 6445f780..b0add6c1 100644
--- a/examples/customize/build_graph/pipeline/visualization.py
+++ b/examples/customize/build_graph/pipeline/visualization.py
@@ -54,5 +54,5 @@ async def run(self, number: IntDataModel) -> IntDataModel:
     pipe.connect("times_two", "addition", {"a": "times_two.value"})
     pipe.connect("times_ten", "addition", {"b": "times_ten.value"})
     pipe.connect("addition", "save", {"number": "addition"})
-    pipe.draw("graph.png")
-    pipe.draw("graph_full.png", hide_unused_outputs=False)
+    pipe.draw("graph.html")
+    pipe.draw("graph_full.html", hide_unused_outputs=False)
diff --git a/poetry.lock b/poetry.lock
index 7cdddabe..f7a66df5 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.8.4 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
 
 [[package]]
 name = "aiohappyeyeballs"
@@ -13,92 +13,92 @@ files = [
 
 [[package]]
 name = "aiohttp"
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+version = "3.11.16"
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 optional = true
 python-versions = ">=3.9"
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 ]
 
 [package.dependencies]
@@ -232,6 +232,21 @@ files = [
 domdf-python-tools = ">=2.6.0"
 idna = ">=2.5"
 
+[[package]]
+name = "asttokens"
+version = "3.0.0"
+description = "Annotate AST trees with source code positions"
+optional = false
+python-versions = ">=3.8"
+files = [
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+    {file = "asttokens-3.0.0.tar.gz", hash = "sha256:0dcd8baa8d62b0c1d118b399b2ddba3c4aff271d0d7a9e0d4c1681c79035bbc7"},
+]
+
+[package.extras]
+astroid = ["astroid (>=2,<4)"]
+test = ["astroid (>=2,<4)", "pytest", "pytest-cov", "pytest-xdist"]
+
 [[package]]
 name = "async-timeout"
 version = "5.0.1"
@@ -304,6 +319,28 @@ files = [
 [package.extras]
 dev = ["backports.zoneinfo", "freezegun (>=1.0,<2.0)", "jinja2 (>=3.0)", "pytest (>=6.0)", "pytest-cov", "pytz", "setuptools", "tzdata"]
 
+[[package]]
+name = "banks"
+version = "2.1.1"
+description = "A prompt programming language"
+optional = true
+python-versions = ">=3.9"
+files = [
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+]
+
+[package.dependencies]
+deprecated = "*"
+eval-type-backport = {version = "*", markers = "python_version < \"3.10\""}
+griffe = "*"
+jinja2 = "*"
+platformdirs = "*"
+pydantic = "*"
+
+[package.extras]
+all = ["litellm", "redis"]
+
 [[package]]
 name = "beautifulsoup4"
 version = "4.13.3"
@@ -328,40 +365,39 @@ lxml = ["lxml"]
 
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 name = "blis"
-version = "1.2.0"
+version = "1.2.1"
 description = "The Blis BLAS-like linear algebra library, as a self-contained C-extension."
 optional = true
 python-versions = "<3.13,>=3.6"
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 ]
 
 [package.dependencies]
@@ -648,13 +684,13 @@ s3 = ["boto3 (>=1.34.0)"]
 
 [[package]]
 name = "cohere"
-version = "5.14.0"
+version = "5.14.2"
 description = ""
 optional = true
 python-versions = "<4.0,>=3.9"
 files = [
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 [package.dependencies]
@@ -696,74 +732,74 @@ srsly = ">=2.4.0,<3.0.0"
 
 [[package]]
 name = "coverage"
-version = "7.7.0"
+version = "7.8.0"
 description = "Code coverage measurement for Python"
 optional = false
 python-versions = ">=3.9"
 files = [
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 [package.extras]
@@ -896,6 +932,17 @@ files = [
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 typing-inspect = ">=0.4.0,<1"
 
+[[package]]
+name = "decorator"
+version = "5.2.1"
+description = "Decorators for Humans"
+optional = false
+python-versions = ">=3.8"
+files = [
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+
 [[package]]
 name = "deprecated"
 version = "1.2.18"
@@ -1052,6 +1099,20 @@ files = [
 [package.extras]
 test = ["pytest (>=6)"]
 
+[[package]]
+name = "executing"
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+description = "Get the currently executing AST node of a frame, and other information"
+optional = false
+python-versions = ">=3.8"
+files = [
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+[package.extras]
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+
 [[package]]
 name = "fastavro"
 version = "1.10.0"
@@ -1323,13 +1384,13 @@ requests = ["requests (>=2.20.0,<3.0.0.dev0)"]
 
 [[package]]
 name = "google-cloud-aiplatform"
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 description = "Vertex AI API client library"
 optional = true
 python-versions = ">=3.8"
 files = [
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 [package.dependencies]
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 autologging = ["mlflow (>=1.27.0,<=2.16.0)"]
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 datasets = ["pyarrow (>=10.0.1)", "pyarrow (>=14.0.0)", "pyarrow (>=3.0.0,<8.0.0)"]
-endpoint = ["requests (>=2.28.1)"]
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 evaluation = ["pandas (>=1.0.0)", "scikit-learn", "scikit-learn (<1.6.0)", "tqdm (>=4.23.0)"]
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 tokenization = ["sentencepiece (>=0.2.0)"]
 vizier = ["google-vizier (>=0.1.6)"]
 xai = ["tensorflow (>=2.3.0,<3.0.0)"]
 
 [[package]]
 name = "google-cloud-bigquery"
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 description = "Google BigQuery API client library"
 optional = true
-python-versions = ">=3.7"
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 files = [
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 [package.extras]
 all = ["google-cloud-bigquery[bigquery-v2,bqstorage,geopandas,ipython,ipywidgets,opentelemetry,pandas,tqdm]"]
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-ipython = ["bigquery-magics (>=0.1.0)"]
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+ipython = ["bigquery-magics (>=0.6.0)", "ipython (>=7.23.1)"]
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+tqdm = ["tqdm (>=4.7.4,<5.0.0)"]
 
 [[package]]
 name = "google-cloud-core"
@@ -1464,44 +1527,45 @@ tracing = ["opentelemetry-api (>=1.1.0)"]
 
 [[package]]
 name = "google-crc32c"
-version = "1.7.0"
+version = "1.7.1"
 description = "A python wrapper of the C library 'Google CRC32C'"
 optional = true
 python-versions = ">=3.9"
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 ]
 
 [package.extras]
@@ -1629,6 +1693,20 @@ files = [
 docs = ["Sphinx", "furo"]
 test = ["objgraph", "psutil"]
 
+[[package]]
+name = "griffe"
+version = "1.7.2"
+description = "Signatures for entire Python programs. Extract the structure, the frame, the skeleton of your project, to generate API documentation or find breaking changes in your API."
+optional = true
+python-versions = ">=3.9"
+files = [
+    {file = "griffe-1.7.2-py3-none-any.whl", hash = "sha256:1ed9c2e338a75741fc82083fe5a1bc89cb6142efe126194cc313e34ee6af5423"},
+    {file = "griffe-1.7.2.tar.gz", hash = "sha256:98d396d803fab3b680c2608f300872fd57019ed82f0672f5b5323a9ad18c540c"},
+]
+
+[package.dependencies]
+colorama = ">=0.4"
+
 [[package]]
 name = "grpc-google-iam-v1"
 version = "0.14.2"
@@ -1921,13 +1999,13 @@ files = [
 
 [[package]]
 name = "huggingface-hub"
-version = "0.29.3"
+version = "0.30.1"
 description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
 optional = true
 python-versions = ">=3.8.0"
 files = [
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+    {file = "huggingface_hub-0.30.1-py3-none-any.whl", hash = "sha256:0f6aa5ec5a4e68e5b9e45d556b4e5ea180c58f5a5ffa734e7f38c9d573028959"},
+    {file = "huggingface_hub-0.30.1.tar.gz", hash = "sha256:f379e8b8d0791295602538856638460ae3cf679c7f304201eb80fb98c771950e"},
 ]
 
 [package.dependencies]
@@ -1945,6 +2023,7 @@ cli = ["InquirerPy (==0.3.4)"]
 dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio (>=4.0.0)", "jedi", "libcst (==1.4.0)", "mypy (==1.5.1)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
 fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
 hf-transfer = ["hf-transfer (>=0.1.4)"]
+hf-xet = ["hf-xet (>=0.1.4)"]
 inference = ["aiohttp"]
 quality = ["libcst (==1.4.0)", "mypy (==1.5.1)", "ruff (>=0.9.0)"]
 tensorflow = ["graphviz", "pydot", "tensorflow"]
@@ -2028,15 +2107,71 @@ type = ["pytest-mypy"]
 
 [[package]]
 name = "iniconfig"
-version = "2.0.0"
+version = "2.1.0"
 description = "brain-dead simple config-ini parsing"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "iniconfig-2.0.0-py3-none-any.whl", hash = "sha256:b6a85871a79d2e3b22d2d1b94ac2824226a63c6b741c88f7ae975f18b6778374"},
-    {file = "iniconfig-2.0.0.tar.gz", hash = "sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3"},
+    {file = "iniconfig-2.1.0-py3-none-any.whl", hash = "sha256:9deba5723312380e77435581c6bf4935c94cbfab9b1ed33ef8d238ea168eb760"},
+    {file = "iniconfig-2.1.0.tar.gz", hash = "sha256:3abbd2e30b36733fee78f9c7f7308f2d0050e88f0087fd25c2645f63c773e1c7"},
 ]
 
+[[package]]
+name = "ipython"
+version = "8.18.1"
+description = "IPython: Productive Interactive Computing"
+optional = false
+python-versions = ">=3.9"
+files = [
+    {file = "ipython-8.18.1-py3-none-any.whl", hash = "sha256:e8267419d72d81955ec1177f8a29aaa90ac80ad647499201119e2f05e99aa397"},
+    {file = "ipython-8.18.1.tar.gz", hash = "sha256:ca6f079bb33457c66e233e4580ebfc4128855b4cf6370dddd73842a9563e8a27"},
+]
+
+[package.dependencies]
+colorama = {version = "*", markers = "sys_platform == \"win32\""}
+decorator = "*"
+exceptiongroup = {version = "*", markers = "python_version < \"3.11\""}
+jedi = ">=0.16"
+matplotlib-inline = "*"
+pexpect = {version = ">4.3", markers = "sys_platform != \"win32\""}
+prompt-toolkit = ">=3.0.41,<3.1.0"
+pygments = ">=2.4.0"
+stack-data = "*"
+traitlets = ">=5"
+typing-extensions = {version = "*", markers = "python_version < \"3.10\""}
+
+[package.extras]
+all = ["black", "curio", "docrepr", "exceptiongroup", "ipykernel", "ipyparallel", "ipywidgets", "matplotlib", "matplotlib (!=3.2.0)", "nbconvert", "nbformat", "notebook", "numpy (>=1.22)", "pandas", "pickleshare", "pytest (<7)", "pytest (<7.1)", "pytest-asyncio (<0.22)", "qtconsole", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "stack-data", "testpath", "trio", "typing-extensions"]
+black = ["black"]
+doc = ["docrepr", "exceptiongroup", "ipykernel", "matplotlib", "pickleshare", "pytest (<7)", "pytest (<7.1)", "pytest-asyncio (<0.22)", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "stack-data", "testpath", "typing-extensions"]
+kernel = ["ipykernel"]
+nbconvert = ["nbconvert"]
+nbformat = ["nbformat"]
+notebook = ["ipywidgets", "notebook"]
+parallel = ["ipyparallel"]
+qtconsole = ["qtconsole"]
+test = ["pickleshare", "pytest (<7.1)", "pytest-asyncio (<0.22)", "testpath"]
+test-extra = ["curio", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.22)", "pandas", "pickleshare", "pytest (<7.1)", "pytest-asyncio (<0.22)", "testpath", "trio"]
+
+[[package]]
+name = "jedi"
+version = "0.19.2"
+description = "An autocompletion tool for Python that can be used for text editors."
+optional = false
+python-versions = ">=3.6"
+files = [
+    {file = "jedi-0.19.2-py2.py3-none-any.whl", hash = "sha256:a8ef22bde8490f57fe5c7681a3c83cb58874daf72b4784de3cce5b6ef6edb5b9"},
+    {file = "jedi-0.19.2.tar.gz", hash = "sha256:4770dc3de41bde3966b02eb84fbcf557fb33cce26ad23da12c742fb50ecb11f0"},
+]
+
+[package.dependencies]
+parso = ">=0.8.4,<0.9.0"
+
+[package.extras]
+docs = ["Jinja2 (==2.11.3)", "MarkupSafe (==1.1.1)", "Pygments (==2.8.1)", "alabaster (==0.7.12)", "babel (==2.9.1)", "chardet (==4.0.0)", "commonmark (==0.8.1)", "docutils (==0.17.1)", "future (==0.18.2)", "idna (==2.10)", "imagesize (==1.2.0)", "mock (==1.0.1)", "packaging (==20.9)", "pyparsing (==2.4.7)", "pytz (==2021.1)", "readthedocs-sphinx-ext (==2.1.4)", "recommonmark (==0.5.0)", "requests (==2.25.1)", "six (==1.15.0)", "snowballstemmer (==2.1.0)", "sphinx (==1.8.5)", "sphinx-rtd-theme (==0.4.3)", "sphinxcontrib-serializinghtml (==1.1.4)", "sphinxcontrib-websupport (==1.2.4)", "urllib3 (==1.26.4)"]
+qa = ["flake8 (==5.0.4)", "mypy (==0.971)", "types-setuptools (==67.2.0.1)"]
+testing = ["Django", "attrs", "colorama", "docopt", "pytest (<9.0.0)"]
+
 [[package]]
 name = "jinja2"
 version = "3.1.6"
@@ -2175,17 +2310,6 @@ files = [
 [package.dependencies]
 jsonpointer = ">=1.9"
 
-[[package]]
-name = "jsonpath-python"
-version = "1.0.6"
-description = "A more powerful JSONPath implementation in modern python"
-optional = true
-python-versions = ">=3.6"
-files = [
-    {file = "jsonpath-python-1.0.6.tar.gz", hash = "sha256:dd5be4a72d8a2995c3f583cf82bf3cd1a9544cfdabf2d22595b67aff07349666"},
-    {file = "jsonpath_python-1.0.6-py3-none-any.whl", hash = "sha256:1e3b78df579f5efc23565293612decee04214609208a2335884b3ee3f786b575"},
-]
-
 [[package]]
 name = "jsonpointer"
 version = "3.0.0"
@@ -2199,13 +2323,13 @@ files = [
 
 [[package]]
 name = "langchain-core"
-version = "0.3.45"
+version = "0.3.50"
 description = "Building applications with LLMs through composability"
 optional = true
 python-versions = "<4.0,>=3.9"
 files = [
-    {file = "langchain_core-0.3.45-py3-none-any.whl", hash = "sha256:fe560d644c102c3f5dcfb44eb5295e26d22deab259fdd084f6b1b55a0350b77c"},
-    {file = "langchain_core-0.3.45.tar.gz", hash = "sha256:a39b8446495d1ea97311aa726478c0a13ef1d77cb7644350bad6d9d3c0141a0c"},
+    {file = "langchain_core-0.3.50-py3-none-any.whl", hash = "sha256:76b7ff99125d160427801ea47c4b5202363856603e8382208a889fdd914d7d4d"},
+    {file = "langchain_core-0.3.50.tar.gz", hash = "sha256:8e141b89f2be6020e94c32d7d5141fc6eb5acf1e04e4d80ebd2c74bf30de9f77"},
 ]
 
 [package.dependencies]
@@ -2288,13 +2412,13 @@ test = ["pytest", "pytest-cov"]
 
 [[package]]
 name = "langsmith"
-version = "0.3.16"
+version = "0.3.24"
 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
 optional = true
 python-versions = "<4.0,>=3.9"
 files = [
-    {file = "langsmith-0.3.16-py3-none-any.whl", hash = "sha256:c8f53b11e68042d2d53db13c91db5e81e2c02974bbaf2218dad34ffd77e45744"},
-    {file = "langsmith-0.3.16.tar.gz", hash = "sha256:dbf22b9426f8ece61089dad825a483db27095904648b8dcd92b620920af6a9ff"},
+    {file = "langsmith-0.3.24-py3-none-any.whl", hash = "sha256:24930d34970281950338f6e2724d04a69804ccb3e89dba9314e6086653dc8bc9"},
+    {file = "langsmith-0.3.24.tar.gz", hash = "sha256:ee353dae8e59ec91eee8d3b601bc48e9d0e96722d1af14269b314ecb71e22088"},
 ]
 
 [package.dependencies]
@@ -2311,7 +2435,8 @@ zstandard = ">=0.23.0,<0.24.0"
 
 [package.extras]
 langsmith-pyo3 = ["langsmith-pyo3 (>=0.1.0rc2,<0.2.0)"]
-openai-agents = ["openai-agents (>=0.0.3,<0.0.4)"]
+openai-agents = ["openai-agents (>=0.0.3,<0.1)"]
+otel = ["opentelemetry-api (>=1.30.0,<2.0.0)", "opentelemetry-exporter-otlp-proto-http (>=1.30.0,<2.0.0)", "opentelemetry-sdk (>=1.30.0,<2.0.0)"]
 pytest = ["pytest (>=7.0.0)", "rich (>=13.9.4,<14.0.0)"]
 
 [[package]]
@@ -2334,13 +2459,13 @@ test = ["pytest", "pytest-cov"]
 
 [[package]]
 name = "llama-cloud"
-version = "0.1.15"
+version = "0.1.17"
 description = ""
 optional = true
 python-versions = "<4,>=3.8"
 files = [
-    {file = "llama_cloud-0.1.15-py3-none-any.whl", hash = "sha256:8e7376346d580b244a87d023eb7493506f06b53c898fb2a2e712b9fe7eb5b310"},
-    {file = "llama_cloud-0.1.15.tar.gz", hash = "sha256:3ec98422072ee4290c1e7597bc33889af3f03edb2a50ab09c15d5586d9f8635c"},
+    {file = "llama_cloud-0.1.17-py3-none-any.whl", hash = "sha256:4c13267c23d336227176d33ef9cd091f77aded4e1c9c6e7031a3b0ecfe7d5c8d"},
+    {file = "llama_cloud-0.1.17.tar.gz", hash = "sha256:f351fa0f1f5b6b9bce650eda78fc84511ba72c09bdafd4525fde6b7a4aac20f3"},
 ]
 
 [package.dependencies]
@@ -2350,38 +2475,39 @@ pydantic = ">=1.10"
 
 [[package]]
 name = "llama-cloud-services"
-version = "0.6.6"
+version = "0.6.9"
 description = "Tailored SDK clients for LlamaCloud services."
 optional = true
 python-versions = "<4.0,>=3.9"
 files = [
-    {file = "llama_cloud_services-0.6.6-py3-none-any.whl", hash = "sha256:e08e92b034c1cb67f66e959c3233b5e09e3fba2c86cc8208327b874d8e60fcc5"},
-    {file = "llama_cloud_services-0.6.6.tar.gz", hash = "sha256:4e2ea6f9e632df62da456cbeb9d00665d09886d1caf759241ffa73c7c47d57c8"},
+    {file = "llama_cloud_services-0.6.9-py3-none-any.whl", hash = "sha256:fd3705b471a72bb31f3f20e4d4131b81f7e0ddae0c044197660a4741347ef2c4"},
+    {file = "llama_cloud_services-0.6.9.tar.gz", hash = "sha256:aa3ba309f64723abd30b8fbb2dd99349d616cc79e09e37c52e10a69e84fe8d48"},
 ]
 
 [package.dependencies]
 click = ">=8.1.7,<9.0.0"
 eval-type-backport = {version = ">=0.2.0,<0.3.0", markers = "python_version < \"3.10\""}
-llama-cloud = ">=0.1.15,<0.2.0"
+llama-cloud = ">=0.1.17,<0.2.0"
 llama-index-core = ">=0.11.0"
+platformdirs = ">=4.3.7,<5.0.0"
 pydantic = "!=2.10"
 python-dotenv = ">=1.0.1,<2.0.0"
 
 [[package]]
 name = "llama-index"
-version = "0.12.25"
+version = "0.12.28"
 description = "Interface between LLMs and your data"
 optional = true
 python-versions = "<4.0,>=3.9"
 files = [
-    {file = "llama_index-0.12.25-py3-none-any.whl", hash = "sha256:e8c458feccedc6a125a2c04de1d76d84299a7d3c2382ef1d20c64639f42b000a"},
-    {file = "llama_index-0.12.25.tar.gz", hash = "sha256:a4681109fe4cba1a8a17867769a18fc5f4f3deab28c3263c385f172f4cbcb6e4"},
+    {file = "llama_index-0.12.28-py3-none-any.whl", hash = "sha256:e5e422a54cf4a7ee38a2c4ffacbd0c34a33bd57df993dad1213544e47b8fffec"},
+    {file = "llama_index-0.12.28.tar.gz", hash = "sha256:11f2e4bd25a9b9e2a6a0ff326b4336af10a62433d1b13ec1831debcff31a1ac8"},
 ]
 
 [package.dependencies]
 llama-index-agent-openai = ">=0.4.0,<0.5.0"
 llama-index-cli = ">=0.4.1,<0.5.0"
-llama-index-core = ">=0.12.25,<0.13.0"
+llama-index-core = ">=0.12.28,<0.13.0"
 llama-index-embeddings-openai = ">=0.3.0,<0.4.0"
 llama-index-indices-managed-llama-cloud = ">=0.4.0"
 llama-index-llms-openai = ">=0.3.0,<0.4.0"
@@ -2426,17 +2552,18 @@ llama-index-llms-openai = ">=0.3.0,<0.4.0"
 
 [[package]]
 name = "llama-index-core"
-version = "0.12.25"
+version = "0.12.28"
 description = "Interface between LLMs and your data"
 optional = true
 python-versions = "<4.0,>=3.9"
 files = [
-    {file = "llama_index_core-0.12.25-py3-none-any.whl", hash = "sha256:affd0b240daf3c1200ad8ca86696ce339f411c3028981b0b5b71b59d78f281ae"},
-    {file = "llama_index_core-0.12.25.tar.gz", hash = "sha256:e0145617f0ab5358c30a7a716fa46dd3c40183bad1b87dd0cbfd3d196fbee8c4"},
+    {file = "llama_index_core-0.12.28-py3-none-any.whl", hash = "sha256:9bd24224bd57dd5e97bb0a2550f31f6c08b7dc396305f35bbe9714d17b1409a6"},
+    {file = "llama_index_core-0.12.28.tar.gz", hash = "sha256:bf4a9697525e1294855d2df5c3a56b9720c185cde0eae2da713e7629c456c643"},
 ]
 
 [package.dependencies]
 aiohttp = ">=3.8.6,<4.0.0"
+banks = ">=2.0.0,<3.0.0"
 dataclasses-json = "*"
 deprecated = ">=1.2.9.3"
 dirtyjson = ">=1.0.8,<2.0.0"
@@ -2477,13 +2604,13 @@ openai = ">=1.1.0"
 
 [[package]]
 name = "llama-index-indices-managed-llama-cloud"
-version = "0.6.9"
+version = "0.6.11"
 description = "llama-index indices llama-cloud integration"
 optional = true
 python-versions = "<4.0,>=3.9"
 files = [
-    {file = "llama_index_indices_managed_llama_cloud-0.6.9-py3-none-any.whl", hash = "sha256:8f4002d6d508b8afe7edd003d41e7236868b2774ec0ca266e84d002616e5b96c"},
-    {file = "llama_index_indices_managed_llama_cloud-0.6.9.tar.gz", hash = "sha256:c6450ef8aa99643cf8e78e1371b861a4f209a3bb80b3ec67fd937741f9da8e74"},
+    {file = "llama_index_indices_managed_llama_cloud-0.6.11-py3-none-any.whl", hash = "sha256:64e82e2ac178cd3721b76c0817edd57e05a3bd877c412b4148d3abbdeea62d59"},
+    {file = "llama_index_indices_managed_llama_cloud-0.6.11.tar.gz", hash = "sha256:925532f760cd2ebb2594828da311adac3d54cd2cae3dff2908491eebb2b8bd0f"},
 ]
 
 [package.dependencies]
@@ -2492,18 +2619,18 @@ llama-index-core = ">=0.12.0,<0.13.0"
 
 [[package]]
 name = "llama-index-llms-openai"
-version = "0.3.25"
+version = "0.3.30"
 description = "llama-index llms openai integration"
 optional = true
 python-versions = "<4.0,>=3.9"
 files = [
-    {file = "llama_index_llms_openai-0.3.25-py3-none-any.whl", hash = "sha256:b21ea58f20c82f442b910b8f878bbbfd4937f601aa436cbe55b26c1d490762a6"},
-    {file = "llama_index_llms_openai-0.3.25.tar.gz", hash = "sha256:1e4fd1d166bb635ca7c03f0486c04d80978948c5b8d89c8b469ae5d02852cf4b"},
+    {file = "llama_index_llms_openai-0.3.30-py3-none-any.whl", hash = "sha256:91c9ab04d6e93080ca3321094a03685d79049f640cd906d8a526607e4487bfdc"},
+    {file = "llama_index_llms_openai-0.3.30.tar.gz", hash = "sha256:5b03674d5a6f979439cc4597ae1bf12c0e48386a5d5e1b920d3311244bc136bc"},
 ]
 
 [package.dependencies]
 llama-index-core = ">=0.12.17,<0.13.0"
-openai = ">=1.58.1,<2.0.0"
+openai = ">=1.66.3,<2.0.0"
 
 [[package]]
 name = "llama-index-multi-modal-llms-openai"
@@ -2554,13 +2681,13 @@ llama-index-program-openai = ">=0.3.0,<0.4.0"
 
 [[package]]
 name = "llama-index-readers-file"
-version = "0.4.6"
+version = "0.4.7"
 description = "llama-index readers file integration"
 optional = true
 python-versions = "<4.0,>=3.9"
 files = [
-    {file = "llama_index_readers_file-0.4.6-py3-none-any.whl", hash = "sha256:5b5589a528bd3bdf41798406ad0b3ad1a55f28085ff9078a00b61567ff29acba"},
-    {file = "llama_index_readers_file-0.4.6.tar.gz", hash = "sha256:50119fdffb7f5aa4638dda2227c79ad6a5f326b9c55a7e46054df99f46a709e0"},
+    {file = "llama_index_readers_file-0.4.7-py3-none-any.whl", hash = "sha256:dff86f9b6079bddad37896f26756b508be5a052096ced34c9917b76646cf0c02"},
+    {file = "llama_index_readers_file-0.4.7.tar.gz", hash = "sha256:89a765238a106af0f1e31ab8d4cb3ee33ac897080285bcce59101b420265ebd1"},
 ]
 
 [package.dependencies]
@@ -2806,6 +2933,20 @@ dev = ["marshmallow[tests]", "pre-commit (>=3.5,<5.0)", "tox"]
 docs = ["autodocsumm (==0.2.14)", "furo (==2024.8.6)", "sphinx (==8.1.3)", "sphinx-copybutton (==0.5.2)", "sphinx-issues (==5.0.0)", "sphinxext-opengraph (==0.9.1)"]
 tests = ["pytest", "simplejson"]
 
+[[package]]
+name = "matplotlib-inline"
+version = "0.1.7"
+description = "Inline Matplotlib backend for Jupyter"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "matplotlib_inline-0.1.7-py3-none-any.whl", hash = "sha256:df192d39a4ff8f21b1895d72e6a13f5fcc5099f00fa84384e0ea28c2cc0653ca"},
+    {file = "matplotlib_inline-0.1.7.tar.gz", hash = "sha256:8423b23ec666be3d16e16b60bdd8ac4e86e840ebd1dd11a30b9f117f2fa0ab90"},
+]
+
+[package.dependencies]
+traitlets = "*"
+
 [[package]]
 name = "mdurl"
 version = "0.1.2"
@@ -2819,22 +2960,21 @@ files = [
 
 [[package]]
 name = "mistralai"
-version = "1.5.1"
+version = "1.6.0"
 description = "Python Client SDK for the Mistral AI API."
 optional = true
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
-    {file = "mistralai-1.5.1-py3-none-any.whl", hash = "sha256:881f8a1b9a7966d15bd1eb4ed05df09483c261f826c1b9d153ceeca605dc79ac"},
-    {file = "mistralai-1.5.1.tar.gz", hash = "sha256:ce4b8c7aa587521c46dbc45d42e27575f6197c0229f47242e5b331875104707b"},
+    {file = "mistralai-1.6.0-py3-none-any.whl", hash = "sha256:6a4f4d6b5c9fff361741aa5513cd2917a81be520deeb0d33e963d1c31eae8c19"},
+    {file = "mistralai-1.6.0.tar.gz", hash = "sha256:0616b55b694871f0a7d1a4283a53cb904089de7fbfcac1d2c0470d1c77ef879d"},
 ]
 
 [package.dependencies]
 eval-type-backport = ">=0.2.0"
-httpx = ">=0.27.0"
-jsonpath-python = ">=1.0.6"
-pydantic = ">=2.9.0"
+httpx = ">=0.28.1"
+pydantic = ">=2.10.3"
 python-dateutil = ">=2.8.2"
-typing-inspect = ">=0.9.0"
+typing-inspection = ">=0.4.0"
 
 [package.extras]
 gcp = ["google-auth (>=2.27.0)", "requests (>=2.32.3)"]
@@ -2942,103 +3082,103 @@ files = [
 
 [[package]]
 name = "multidict"
-version = "6.2.0"
+version = "6.3.2"
 description = "multidict implementation"
 optional = true
 python-versions = ">=3.9"
 files = [
-    {file = "multidict-6.2.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:b9f6392d98c0bd70676ae41474e2eecf4c7150cb419237a41f8f96043fcb81d1"},
-    {file = "multidict-6.2.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:3501621d5e86f1a88521ea65d5cad0a0834c77b26f193747615b7c911e5422d2"},
-    {file = "multidict-6.2.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:32ed748ff9ac682eae7859790d3044b50e3076c7d80e17a44239683769ff485e"},
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 [package.dependencies]
@@ -3187,6 +3327,31 @@ numpy = ["numpy (>=1.7.0,<3.0.0)"]
 pandas = ["numpy (>=1.7.0,<3.0.0)", "pandas (>=1.1.0,<3.0.0)"]
 pyarrow = ["pyarrow (>=1.0.0)"]
 
+[[package]]
+name = "neo4j-viz"
+version = "0.2.4"
+description = "A simple graph visualization tool"
+optional = false
+python-versions = ">=3.9"
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+]
+
+[package.dependencies]
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+pydantic-extra-types = ">=2,<3"
+
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+
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@@ -3490,13 +3655,13 @@ pydantic = ">=2.9.0,<3.0.0"
 
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 name = "openai"
-version = "1.66.5"
+version = "1.70.0"
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 realtime = ["websockets (>=13,<15)"]
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 [[package]]
@@ -3666,8 +3821,8 @@ files = [
 [package.dependencies]
 numpy = [
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-    {version = ">=1.22.4", markers = "python_version < \"3.11\""},
     {version = ">=1.26.0", markers = "python_version >= \"3.12\""},
+    {version = ">=1.22.4", markers = "python_version < \"3.11\""},
 ]
 python-dateutil = ">=2.8.2"
 pytz = ">=2020.1"
@@ -3698,6 +3853,35 @@ sql-other = ["SQLAlchemy (>=2.0.0)", "adbc-driver-postgresql (>=0.8.0)", "adbc-d
 test = ["hypothesis (>=6.46.1)", "pytest (>=7.3.2)", "pytest-xdist (>=2.2.0)"]
 xml = ["lxml (>=4.9.2)"]
 
+[[package]]
+name = "parso"
+version = "0.8.4"
+description = "A Python Parser"
+optional = false
+python-versions = ">=3.6"
+files = [
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+testing = ["docopt", "pytest"]
+
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+description = "Pexpect allows easy control of interactive console applications."
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+python-versions = "*"
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+
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+
 [[package]]
 name = "pillow"
 version = "11.1.0"
@@ -3823,19 +4007,19 @@ files = [
 
 [[package]]
 name = "platformdirs"
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+version = "4.3.7"
 description = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`."
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-type = ["mypy (>=1.11.2)"]
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+test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=8.3.4)", "pytest-cov (>=6)", "pytest-mock (>=3.14)"]
+type = ["mypy (>=1.14.1)"]
 
 [[package]]
 name = "pluggy"
@@ -3935,111 +4119,125 @@ files = [
 cymem = ">=2.0.2,<2.1.0"
 murmurhash = ">=0.28.0,<1.1.0"
 
+[[package]]
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+version = "3.0.50"
+description = "Library for building powerful interactive command lines in Python"
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+
+[package.dependencies]
+wcwidth = "*"
+
 [[package]]
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-version = "0.3.0"
+version = "0.3.1"
 description = "Accelerated property cache"
 optional = true
 python-versions = ">=3.9"
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+
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+pycountry = ["pycountry (>=23)"]
+python-ulid = ["python-ulid (>=1,<2)", "python-ulid (>=1,<4)"]
+semver = ["semver (>=3.0.2)"]
 
 [[package]]
-name = "pygraphviz"
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-description = "Python interface to Graphviz"
-optional = true
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+[package.extras]
+windows-terminal = ["colorama (>=0.4.6)"]
 
 [[package]]
 name = "pypdf"
@@ -4359,13 +4585,13 @@ six = ">=1.5"
 
 [[package]]
 name = "python-dotenv"
-version = "1.0.1"
+version = "1.1.0"
 description = "Read key-value pairs from a .env file and set them as environment variables"
 optional = true
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
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 ]
 
 [package.extras]
@@ -4373,13 +4599,13 @@ cli = ["click (>=5.0)"]
 
 [[package]]
 name = "pytz"
-version = "2025.1"
+version = "2025.2"
 description = "World timezone definitions, modern and historical"
 optional = false
 python-versions = "*"
 files = [
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+]
+
+[package.dependencies]
+greenlet = {version = ">=1", optional = true, markers = "python_version < \"3.14\" and (platform_machine == \"aarch64\" or platform_machine == \"ppc64le\" or platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"win32\" or platform_machine == \"WIN32\") or extra == \"asyncio\""}
 typing-extensions = ">=4.6.0"
 
 [package.extras]
-aiomysql = ["aiomysql (>=0.2.0)", "greenlet (!=0.4.17)"]
-aioodbc = ["aioodbc", "greenlet (!=0.4.17)"]
-aiosqlite = ["aiosqlite", "greenlet (!=0.4.17)", "typing_extensions (!=3.10.0.1)"]
-asyncio = ["greenlet (!=0.4.17)"]
-asyncmy = ["asyncmy (>=0.2.3,!=0.2.4,!=0.2.6)", "greenlet (!=0.4.17)"]
+aiomysql = ["aiomysql (>=0.2.0)", "greenlet (>=1)"]
+aioodbc = ["aioodbc", "greenlet (>=1)"]
+aiosqlite = ["aiosqlite", "greenlet (>=1)", "typing_extensions (!=3.10.0.1)"]
+asyncio = ["greenlet (>=1)"]
+asyncmy = ["asyncmy (>=0.2.3,!=0.2.4,!=0.2.6)", "greenlet (>=1)"]
 mariadb-connector = ["mariadb (>=1.0.1,!=1.1.2,!=1.1.5,!=1.1.10)"]
 mssql = ["pyodbc"]
 mssql-pymssql = ["pymssql"]
@@ -5611,7 +5837,7 @@ mysql-connector = ["mysql-connector-python"]
 oracle = ["cx_oracle (>=8)"]
 oracle-oracledb = ["oracledb (>=1.0.1)"]
 postgresql = ["psycopg2 (>=2.7)"]
-postgresql-asyncpg = ["asyncpg", "greenlet (!=0.4.17)"]
+postgresql-asyncpg = ["asyncpg", "greenlet (>=1)"]
 postgresql-pg8000 = ["pg8000 (>=1.29.1)"]
 postgresql-psycopg = ["psycopg (>=3.0.7)"]
 postgresql-psycopg2binary = ["psycopg2-binary"]
@@ -5668,6 +5894,25 @@ files = [
 [package.dependencies]
 catalogue = ">=2.0.3,<2.1.0"
 
+[[package]]
+name = "stack-data"
+version = "0.6.3"
+description = "Extract data from python stack frames and tracebacks for informative displays"
+optional = false
+python-versions = "*"
+files = [
+    {file = "stack_data-0.6.3-py3-none-any.whl", hash = "sha256:d5558e0c25a4cb0853cddad3d77da9891a08cb85dd9f9f91b9f8cd66e511e695"},
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+]
+
+[package.dependencies]
+asttokens = ">=2.1.0"
+executing = ">=1.2.0"
+pure-eval = "*"
+
+[package.extras]
+tests = ["cython", "littleutils", "pygments", "pytest", "typeguard"]
+
 [[package]]
 name = "striprtf"
 version = "0.0.26"
@@ -5712,13 +5957,13 @@ widechars = ["wcwidth"]
 
 [[package]]
 name = "tenacity"
-version = "9.0.0"
+version = "9.1.2"
 description = "Retry code until it succeeds"
 optional = true
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
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+    {file = "tenacity-9.1.2.tar.gz", hash = "sha256:1169d376c297e7de388d18b4481760d478b0e99a777cad3a9c86e556f4b697cb"},
 ]
 
 [package.extras]
@@ -6003,15 +6248,30 @@ notebook = ["ipywidgets (>=6)"]
 slack = ["slack-sdk"]
 telegram = ["requests"]
 
+[[package]]
+name = "traitlets"
+version = "5.14.3"
+description = "Traitlets Python configuration system"
+optional = false
+python-versions = ">=3.8"
+files = [
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+    {file = "traitlets-5.14.3.tar.gz", hash = "sha256:9ed0579d3502c94b4b3732ac120375cda96f923114522847de4b3bb98b96b6b7"},
+]
+
+[package.extras]
+docs = ["myst-parser", "pydata-sphinx-theme", "sphinx"]
+test = ["argcomplete (>=3.0.3)", "mypy (>=1.7.0)", "pre-commit", "pytest (>=7.0,<8.2)", "pytest-mock", "pytest-mypy-testing"]
+
 [[package]]
 name = "transformers"
-version = "4.49.0"
+version = "4.50.3"
 description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
 optional = true
 python-versions = ">=3.9.0"
 files = [
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+    {file = "transformers-4.50.3-py3-none-any.whl", hash = "sha256:6111610a43dec24ef32c3df0632c6b25b07d9711c01d9e1077bdd2ff6b14a38c"},
+    {file = "transformers-4.50.3.tar.gz", hash = "sha256:1d795d24925e615a8e63687d077e4f7348c2702eb87032286eaa76d83cdc684f"},
 ]
 
 [package.dependencies]
@@ -6022,29 +6282,31 @@ packaging = ">=20.0"
 pyyaml = ">=5.1"
 regex = "!=2019.12.17"
 requests = "*"
-safetensors = ">=0.4.1"
+safetensors = ">=0.4.3"
 tokenizers = ">=0.21,<0.22"
 tqdm = ">=4.27"
 
 [package.extras]
 accelerate = ["accelerate (>=0.26.0)"]
 agents = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "datasets (!=2.5.0)", "diffusers", "opencv-python", "sentencepiece (>=0.1.91,!=0.1.92)", "torch (>=2.0)"]
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+all = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "av", "codecarbon (>=2.8.1)", "flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "kernels (>=0.3.2,<0.4)", "librosa", "num2words", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "ray[tune] (>=2.7.0)", "scipy (<1.13.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timm (<=1.0.11)", "tokenizers (>=0.21,<0.22)", "torch (>=2.0)", "torchaudio", "torchvision"]
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 benchmark = ["optimum-benchmark (>=0.3.0)"]
 codecarbon = ["codecarbon (>=2.8.1)"]
 deepspeed = ["accelerate (>=0.26.0)", "deepspeed (>=0.9.3)"]
-deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=0.26.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "deepspeed (>=0.9.3)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk (<=3.8.1)", "optuna", "parameterized", "protobuf", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-asyncio", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"]
-dev = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "av", "beautifulsoup4", "codecarbon (>=2.8.1)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flax (>=0.4.1,<=0.7.0)", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "libcst", "librosa", "nltk (<=3.8.1)", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-asyncio", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "scipy (<1.13.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "timm (<=1.0.11)", "tokenizers (>=0.21,<0.22)", "torch (>=2.0)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
-dev-tensorflow = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "isort (>=5.5.4)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "libcst", "librosa", "nltk (<=3.8.1)", "onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-asyncio", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "tokenizers (>=0.21,<0.22)", "urllib3 (<2.0.0)"]
-dev-torch = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "beautifulsoup4", "codecarbon (>=2.8.1)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "kenlm", "libcst", "librosa", "nltk (<=3.8.1)", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-asyncio", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "timeout-decorator", "timm (<=1.0.11)", "tokenizers (>=0.21,<0.22)", "torch (>=2.0)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
+deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=0.26.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "deepspeed (>=0.9.3)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk (<=3.8.1)", "optuna", "parameterized", "protobuf", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-asyncio", "pytest-order", "pytest-rerunfailures", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"]
+dev = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "av", "beautifulsoup4", "codecarbon (>=2.8.1)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flax (>=0.4.1,<=0.7.0)", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "kernels (>=0.3.2,<0.4)", "libcst", "librosa", "nltk (<=3.8.1)", "num2words", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-asyncio", "pytest-order", "pytest-rerunfailures", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "scipy (<1.13.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "timm (<=1.0.11)", "tokenizers (>=0.21,<0.22)", "torch (>=2.0)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
+dev-tensorflow = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "isort (>=5.5.4)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "libcst", "librosa", "nltk (<=3.8.1)", "onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-asyncio", "pytest-order", "pytest-rerunfailures", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "tokenizers (>=0.21,<0.22)", "urllib3 (<2.0.0)"]
+dev-torch = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "beautifulsoup4", "codecarbon (>=2.8.1)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "kenlm", "kernels (>=0.3.2,<0.4)", "libcst", "librosa", "nltk (<=3.8.1)", "num2words", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-asyncio", "pytest-order", "pytest-rerunfailures", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "timeout-decorator", "timm (<=1.0.11)", "tokenizers (>=0.21,<0.22)", "torch (>=2.0)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
 flax = ["flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "optax (>=0.0.8,<=0.1.4)", "scipy (<1.13.0)"]
 flax-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
 ftfy = ["ftfy"]
-integrations = ["optuna", "ray[tune] (>=2.7.0)", "sigopt"]
+hub-kernels = ["kernels (>=0.3.2,<0.4)"]
+integrations = ["kernels (>=0.3.2,<0.4)", "optuna", "ray[tune] (>=2.7.0)", "sigopt"]
 ja = ["fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "rhoknp (>=1.1.0,<1.3.1)", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)"]
 modelcreation = ["cookiecutter (==1.7.3)"]
 natten = ["natten (>=0.14.6,<0.15.0)"]
+num2words = ["num2words"]
 onnx = ["onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "tf2onnx"]
 onnxruntime = ["onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)"]
 optuna = ["optuna"]
@@ -6058,7 +6320,7 @@ serving = ["fastapi", "pydantic", "starlette", "uvicorn"]
 sigopt = ["sigopt"]
 sklearn = ["scikit-learn"]
 speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
-testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk (<=3.8.1)", "parameterized", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-asyncio", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"]
+testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk (<=3.8.1)", "parameterized", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-asyncio", "pytest-order", "pytest-rerunfailures", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"]
 tf = ["keras-nlp (>=0.3.1,<0.14.0)", "onnxconverter-common", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx"]
 tf-cpu = ["keras (>2.9,<2.16)", "keras-nlp (>=0.3.1,<0.14.0)", "onnxconverter-common", "tensorflow-cpu (>2.9,<2.16)", "tensorflow-probability (<0.24)", "tensorflow-text (<2.16)", "tf2onnx"]
 tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
@@ -6110,13 +6372,13 @@ typing-extensions = ">=3.7.4.3"
 
 [[package]]
 name = "types-pyyaml"
-version = "6.0.12.20241230"
+version = "6.0.12.20250402"
 description = "Typing stubs for PyYAML"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
-    {file = "types_PyYAML-6.0.12.20241230-py3-none-any.whl", hash = "sha256:fa4d32565219b68e6dee5f67534c722e53c00d1cfc09c435ef04d7353e1e96e6"},
-    {file = "types_pyyaml-6.0.12.20241230.tar.gz", hash = "sha256:7f07622dbd34bb9c8b264fe860a17e0efcad00d50b5f27e93984909d9363498c"},
+    {file = "types_pyyaml-6.0.12.20250402-py3-none-any.whl", hash = "sha256:652348fa9e7a203d4b0d21066dfb00760d3cbd5a15ebb7cf8d33c88a49546681"},
+    {file = "types_pyyaml-6.0.12.20250402.tar.gz", hash = "sha256:d7c13c3e6d335b6af4b0122a01ff1d270aba84ab96d1a1a1063ecba3e13ec075"},
 ]
 
 [[package]]
@@ -6146,13 +6408,13 @@ files = [
 
 [[package]]
 name = "typing-extensions"
-version = "4.12.2"
+version = "4.13.1"
 description = "Backported and Experimental Type Hints for Python 3.8+"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "typing_extensions-4.12.2-py3-none-any.whl", hash = "sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d"},
-    {file = "typing_extensions-4.12.2.tar.gz", hash = "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"},
+    {file = "typing_extensions-4.13.1-py3-none-any.whl", hash = "sha256:4b6cf02909eb5495cfbc3f6e8fd49217e6cc7944e145cdda8caa3734777f9e69"},
+    {file = "typing_extensions-4.13.1.tar.gz", hash = "sha256:98795af00fb9640edec5b8e31fc647597b4691f099ad75f469a2616be1a76dff"},
 ]
 
 [[package]]
@@ -6186,13 +6448,13 @@ typing-extensions = ">=4.12.0"
 
 [[package]]
 name = "tzdata"
-version = "2025.1"
+version = "2025.2"
 description = "Provider of IANA time zone data"
 optional = true
 python-versions = ">=2"
 files = [
-    {file = "tzdata-2025.1-py2.py3-none-any.whl", hash = "sha256:7e127113816800496f027041c570f50bcd464a020098a3b6b199517772303639"},
-    {file = "tzdata-2025.1.tar.gz", hash = "sha256:24894909e88cdb28bd1636c6887801df64cb485bd593f2fd83ef29075a81d694"},
+    {file = "tzdata-2025.2-py2.py3-none-any.whl", hash = "sha256:1a403fada01ff9221ca8044d701868fa132215d84beb92242d9acd2147f667a8"},
+    {file = "tzdata-2025.2.tar.gz", hash = "sha256:b60a638fcc0daffadf82fe0f57e53d06bdec2f36c4df66280ae79bce6bd6f2b9"},
 ]
 
 [[package]]
@@ -6227,13 +6489,13 @@ crypto-eth-addresses = ["eth-hash[pycryptodome] (>=0.7.0)"]
 
 [[package]]
 name = "virtualenv"
-version = "20.29.3"
+version = "20.30.0"
 description = "Virtual Python Environment builder"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "virtualenv-20.29.3-py3-none-any.whl", hash = "sha256:3e3d00f5807e83b234dfb6122bf37cfadf4be216c53a49ac059d02414f819170"},
-    {file = "virtualenv-20.29.3.tar.gz", hash = "sha256:95e39403fcf3940ac45bc717597dba16110b74506131845d9b687d5e73d947ac"},
+    {file = "virtualenv-20.30.0-py3-none-any.whl", hash = "sha256:e34302959180fca3af42d1800df014b35019490b119eba981af27f2fa486e5d6"},
+    {file = "virtualenv-20.30.0.tar.gz", hash = "sha256:800863162bcaa5450a6e4d721049730e7f2dae07720e0902b0e4040bd6f9ada8"},
 ]
 
 [package.dependencies]
@@ -6259,6 +6521,17 @@ files = [
 [package.dependencies]
 colorama = {version = ">=0.4.6", markers = "sys_platform == \"win32\" and python_version >= \"3.7\""}
 
+[[package]]
+name = "wcwidth"
+version = "0.2.13"
+description = "Measures the displayed width of unicode strings in a terminal"
+optional = false
+python-versions = "*"
+files = [
+    {file = "wcwidth-0.2.13-py2.py3-none-any.whl", hash = "sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859"},
+    {file = "wcwidth-0.2.13.tar.gz", hash = "sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5"},
+]
+
 [[package]]
 name = "weasel"
 version = "0.4.1"
@@ -6283,13 +6556,13 @@ wasabi = ">=0.9.1,<1.2.0"
 
 [[package]]
 name = "weaviate-client"
-version = "4.11.1"
+version = "4.12.0"
 description = "A python native Weaviate client"
 optional = true
 python-versions = ">=3.9"
 files = [
-    {file = "weaviate_client-4.11.1-py3-none-any.whl", hash = "sha256:5fa117dd2f3fa18a3fe683ba80ac6936936eb8d03ff037e984f1e4ad0a50e7b9"},
-    {file = "weaviate_client-4.11.1.tar.gz", hash = "sha256:1a2062cd76d7c7047c29efc3468ec9117223f321c424a685ec3ecf09f6421d61"},
+    {file = "weaviate_client-4.12.0-py3-none-any.whl", hash = "sha256:72299b18edca40a97d44917ecf1a488949e71a82cab6e19e93d2408bcdcb1eea"},
+    {file = "weaviate_client-4.12.0.tar.gz", hash = "sha256:4bbccecd87a17d612a52394825fea696569def2faf37d1e268b4a23c4f91748a"},
 ]
 
 [package.dependencies]
@@ -6634,10 +6907,10 @@ cffi = ["cffi (>=1.11)"]
 anthropic = ["anthropic"]
 cohere = ["cohere"]
 examples = []
-experimental = ["langchain-text-splitters", "llama-index", "pygraphviz", "pygraphviz"]
+experimental = ["langchain-text-splitters", "llama-index", "neo4j-viz"]
 fuzzy-matching = ["rapidfuzz"]
 google = ["google-cloud-aiplatform"]
-kg-creation-tools = ["pygraphviz", "pygraphviz"]
+kg-creation-tools = ["neo4j-viz"]
 mistralai = ["mistralai"]
 nlp = ["spacy"]
 ollama = ["ollama"]
@@ -6650,4 +6923,4 @@ weaviate = ["weaviate-client"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.9.0,<3.13"
-content-hash = "db268ee432426e9d8609ebacdf59ed9546fc9135d8dcd6a4b2eff6df89f2ef00"
+content-hash = "4f373456b1c2ff708850be549f8629cd27502fabc4d5ba3f8fdc2cd5ddc7919e"
diff --git a/pyproject.toml b/pyproject.toml
index 563bdadc..a3eb90c3 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -38,10 +38,7 @@ pyyaml = "^6.0.2"
 types-pyyaml = "^6.0.12.20240917"
 # optional deps
 langchain-text-splitters = {version = "^0.3.0", optional = true }
-pygraphviz = [
-    {version = "^1.13.0", python = ">=3.10,<4.0.0", optional = true},
-    {version = "^1.0.0", python = "<3.10", optional = true}
-]
+neo4j-viz = {version = "^0.2.2", optional = true }
 weaviate-client = {version = "^4.6.1", optional = true }
 pinecone-client = {version = "^4.1.0", optional = true }
 google-cloud-aiplatform = {version = "^1.66.0", optional = true }
@@ -68,6 +65,7 @@ sphinx = { version = "^7.2.6", python = "^3.9" }
 langchain-openai = {version = "^0.2.2", optional = true }
 langchain-huggingface = {version = "^0.1.0", optional = true }
 enum-tools = {extras = ["sphinx"], version = "^0.12.0"}
+neo4j-viz = "^0.2.2"
 
 [tool.poetry.extras]
 weaviate = ["weaviate-client"]
@@ -79,9 +77,9 @@ ollama = ["ollama"]
 openai = ["openai"]
 mistralai = ["mistralai"]
 qdrant = ["qdrant-client"]
-kg_creation_tools = ["pygraphviz"]
+kg_creation_tools = ["neo4j-viz"]
 sentence-transformers = ["sentence-transformers"]
-experimental = ["langchain-text-splitters", "pygraphviz", "llama-index"]
+experimental = ["langchain-text-splitters", "neo4j-viz", "llama-index"]
 examples = ["langchain-openai", "langchain-huggingface"]
 nlp = ["spacy"]
 fuzzy-matching = ["rapidfuzz"]
diff --git a/src/neo4j_graphrag/experimental/pipeline/neo4j_viz.pyi b/src/neo4j_graphrag/experimental/pipeline/neo4j_viz.pyi
new file mode 100644
index 00000000..1bfb8415
--- /dev/null
+++ b/src/neo4j_graphrag/experimental/pipeline/neo4j_viz.pyi
@@ -0,0 +1,54 @@
+#  Copyright (c) "Neo4j"
+#  Neo4j Sweden AB [https://neo4j.com]
+#  #
+#  Licensed under the Apache License, Version 2.0 (the "License");
+#  you may not use this file except in compliance with the License.
+#  You may obtain a copy of the License at
+#  #
+#      https://www.apache.org/licenses/LICENSE-2.0
+#  #
+#  Unless required by applicable law or agreed to in writing, software
+#  distributed under the License is distributed on an "AS IS" BASIS,
+#  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+#  See the License for the specific language governing permissions and
+#  limitations under the License.
+
+from typing import Any, Dict, List, Optional, Union
+
+class Node:
+    id: Union[str, int]
+    caption: Optional[str] = None
+    size: Optional[float] = None
+    properties: Optional[Dict[str, Any]] = None
+
+    def __init__(
+        self,
+        id: Union[str, int],
+        caption: Optional[str] = None,
+        size: Optional[float] = None,
+        properties: Optional[Dict[str, Any]] = None,
+        **kwargs: Any,
+    ) -> None: ...
+
+class Relationship:
+    source: Union[str, int]
+    target: Union[str, int]
+    caption: Optional[str] = None
+    properties: Optional[Dict[str, Any]] = None
+
+    def __init__(
+        self,
+        source: Union[str, int],
+        target: Union[str, int],
+        caption: Optional[str] = None,
+        properties: Optional[Dict[str, Any]] = None,
+        **kwargs: Any,
+    ) -> None: ...
+
+class VisualizationGraph:
+    nodes: List[Node]
+    relationships: List[Relationship]
+
+    def __init__(
+        self, nodes: List[Node], relationships: List[Relationship]
+    ) -> None: ...
diff --git a/src/neo4j_graphrag/experimental/pipeline/pipeline.py b/src/neo4j_graphrag/experimental/pipeline/pipeline.py
index 4d12d8d8..91dab34e 100644
--- a/src/neo4j_graphrag/experimental/pipeline/pipeline.py
+++ b/src/neo4j_graphrag/experimental/pipeline/pipeline.py
@@ -24,9 +24,11 @@
 from neo4j_graphrag.utils.logging import prettify
 
 try:
-    import pygraphviz as pgv
+    from neo4j_viz import Node, Relationship, VisualizationGraph
+
+    neo4j_viz_available = True
 except ImportError:
-    pgv = None
+    neo4j_viz_available = False
 
 from pydantic import BaseModel
 
@@ -198,53 +200,126 @@ def show_as_dict(self) -> dict[str, Any]:
     def draw(
         self, path: str, layout: str = "dot", hide_unused_outputs: bool = True
     ) -> Any:
-        G = self.get_pygraphviz_graph(hide_unused_outputs)
-        G.layout(layout)
-        G.draw(path)
+        """Render the pipeline graph to an HTML file at the specified path"""
+        G = self._get_neo4j_viz_graph(hide_unused_outputs)
+
+        # Write the visualization to an HTML file
+        with open(path, "w") as f:
+            f.write(G.render().data)
+
+        return G
 
-    def get_pygraphviz_graph(self, hide_unused_outputs: bool = True) -> pgv.AGraph:
-        if pgv is None:
+    def _get_neo4j_viz_graph(
+        self, hide_unused_outputs: bool = True
+    ) -> VisualizationGraph:
+        """Generate a neo4j-viz visualization of the pipeline graph"""
+        if not neo4j_viz_available:
             raise ImportError(
-                "Could not import pygraphviz. "
-                "Follow installation instruction in pygraphviz documentation "
-                "to get it up and running on your system."
+                "Could not import neo4j-viz. Install it with 'pip install \"neo4j-graphrag[experimental]\"'"
             )
+
         self.validate_parameter_mapping()
-        G = pgv.AGraph(strict=False, directed=True)
-        # create a node for each component
-        for n, node in self._nodes.items():
-            comp_inputs = ",".join(
+
+        nodes = []
+        relationships = []
+        node_ids = {}  # Map node names to their numeric IDs
+        next_id = 0
+
+        # Create nodes for each component
+        for n, pipeline_node in self._nodes.items():
+            comp_inputs = ", ".join(
                 f"{i}: {d['annotation']}"
-                for i, d in node.component.component_inputs.items()
+                for i, d in pipeline_node.component.component_inputs.items()
             )
-            G.add_node(
-                n,
-                node_type="component",
-                shape="rectangle",
-                label=f"{node.component.__class__.__name__}: {n}({comp_inputs})",
+
+            node_ids[n] = next_id
+            label = f"{pipeline_node.component.__class__.__name__}: {n}({comp_inputs})"
+
+            # Create Node with properties parameter
+            viz_node = Node(  # type: ignore
+                id=next_id,
+                caption=label,
+                size=20,
+                properties={"node_type": "component"},
             )
-            # create a node for each output field and connect them it to its component
-            for o in node.component.component_outputs:
+            nodes.append(viz_node)
+            next_id += 1
+
+            # Create nodes for each output field
+            for o in pipeline_node.component.component_outputs:
                 param_node_name = f"{n}.{o}"
-                G.add_node(param_node_name, label=o, node_type="output")
-                G.add_edge(n, param_node_name)
-        # then we create the edges between a component output
-        # and the component it gets added to
+
+                # Skip if we're hiding unused outputs and it's not used
+                if hide_unused_outputs:
+                    # Check if this output is used as a source in any parameter mapping
+                    is_used = False
+                    for params in self.param_mapping.values():
+                        for mapping in params.values():
+                            source_component = mapping["component"]
+                            source_param_name = mapping.get("param")
+                            if source_component == n and source_param_name == o:
+                                is_used = True
+                                break
+                        if is_used:
+                            break
+
+                    if not is_used:
+                        continue
+
+                node_ids[param_node_name] = next_id
+                # Create Node with properties parameter
+                output_node = Node(  # type: ignore
+                    id=next_id,
+                    caption=o,
+                    size=15,
+                    properties={"node_type": "output"},
+                )
+                nodes.append(output_node)
+
+                # Connect component to its output
+                # Connect component to its output
+                rel = Relationship(  # type: ignore
+                    source=node_ids[n],
+                    target=node_ids[param_node_name],
+                    properties={"type": "HAS_OUTPUT"},
+                )
+                relationships.append(rel)
+                next_id += 1
+
+        # Create edges between components based on parameter mapping
         for component_name, params in self.param_mapping.items():
             for param, mapping in params.items():
                 source_component = mapping["component"]
                 source_param_name = mapping.get("param")
+
                 if source_param_name:
                     source_output_node = f"{source_component}.{source_param_name}"
                 else:
                     source_output_node = source_component
-                G.add_edge(source_output_node, component_name, label=param)
-        # remove outputs that are not mapped
-        if hide_unused_outputs:
-            for n in G.nodes():
-                if n.attr["node_type"] == "output" and G.out_degree(n) == 0:  # type: ignore
-                    G.remove_node(n)
-        return G
+
+                if source_output_node in node_ids and component_name in node_ids:
+                    rel = Relationship(  # type: ignore
+                        source=node_ids[source_output_node],
+                        target=node_ids[component_name],
+                        caption=param,
+                        properties={"type": "CONNECTS_TO"},
+                    )
+                    relationships.append(rel)
+
+        # Create the visualization graph
+        viz_graph = VisualizationGraph(nodes=nodes, relationships=relationships)
+        return viz_graph
+
+    def get_pygraphviz_graph(self, hide_unused_outputs: bool = True) -> Any:
+        """Legacy method for backward compatibility.
+        Uses neo4j-viz instead of pygraphviz.
+        """
+        warnings.warn(
+            "get_pygraphviz_graph is deprecated, use draw instead",
+            DeprecationWarning,
+            stacklevel=2,
+        )
+        return self._get_neo4j_viz_graph(hide_unused_outputs)
 
     def add_component(self, component: Component, name: str) -> None:
         """Add a new component. Components are uniquely identified
diff --git a/tests/unit/experimental/pipeline/test_pipeline.py b/tests/unit/experimental/pipeline/test_pipeline.py
index 868aaae8..d37fc65f 100644
--- a/tests/unit/experimental/pipeline/test_pipeline.py
+++ b/tests/unit/experimental/pipeline/test_pipeline.py
@@ -380,39 +380,39 @@ async def test_pipeline_async() -> None:
     assert pipeline_result[1].result == {"add": {"result": 12}}
 
 
-def test_pipeline_to_pgv() -> None:
+def test_pipeline_to_viz() -> None:
     pipe = Pipeline()
     component_a = ComponentAdd()
     component_b = ComponentMultiply()
     pipe.add_component(component_a, "a")
     pipe.add_component(component_b, "b")
     pipe.connect("a", "b", {"number1": "a.result"})
-    g = pipe.get_pygraphviz_graph()
+    g = pipe._get_neo4j_viz_graph()
     # 3 nodes:
     #   - 2 components 'a' and 'b'
     #   - 1 output 'a.result'
-    assert len(g.nodes()) == 3
-    g = pipe.get_pygraphviz_graph(hide_unused_outputs=False)
+    assert len(g.nodes) == 3
+    g = pipe._get_neo4j_viz_graph(hide_unused_outputs=False)
     # 4 nodes:
     #   - 2 components 'a' and 'b'
     #   - 2 output 'a.result' and 'b.result'
-    assert len(g.nodes()) == 4
+    assert len(g.nodes) == 4
 
 
 def test_pipeline_draw() -> None:
     pipe = Pipeline()
     pipe.add_component(ComponentAdd(), "add")
-    t = tempfile.NamedTemporaryFile()
+    t = tempfile.NamedTemporaryFile(suffix=".html")
     pipe.draw(t.name)
     content = t.file.read()
     assert len(content) > 0
 
 
-@patch("neo4j_graphrag.experimental.pipeline.pipeline.pgv", None)
-def test_pipeline_draw_missing_pygraphviz_dep() -> None:
+@patch("neo4j_graphrag.experimental.pipeline.pipeline.neo4j_viz_available", False)
+def test_pipeline_draw_missing_neo4j_viz_dep() -> None:
     pipe = Pipeline()
     pipe.add_component(ComponentAdd(), "add")
-    t = tempfile.NamedTemporaryFile()
+    t = tempfile.NamedTemporaryFile(suffix=".html")
     with pytest.raises(ImportError):
         pipe.draw(t.name)