diff --git a/CHANGELOG.md b/CHANGELOG.md
index 655d7608..20c5ad35 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -2,6 +2,11 @@
 
 ## Next
 
+### Added
+- Introduced a new Vertex AI embeddings class for generating text embeddings using Vertex AI.
+- Updated documentation to include OpenAI and Vertex AI embeddings classes.
+- Added google-cloud-aiplatform as an optional dependency for Vertex AI embeddings.
+
 ## 0.6.2
 
 ## 0.6.1
diff --git a/docs/source/api.rst b/docs/source/api.rst
index ebf3bdcb..fe90e5b5 100644
--- a/docs/source/api.rst
+++ b/docs/source/api.rst
@@ -144,6 +144,18 @@ SentenceTransformerEmbeddings
 .. autoclass:: neo4j_graphrag.embeddings.sentence_transformers.SentenceTransformerEmbeddings
     :members:
 
+OpenAIEmbeddings
+================
+
+.. autoclass:: neo4j_genai.embeddings.openai.OpenAIEmbeddings
+    :members:
+
+VertexAIEmbeddings
+==================
+
+.. autoclass:: neo4j_genai.embeddings.vertexai.VertexAIEmbeddings
+    :members:
+
 **********
 Generation
 **********
diff --git a/poetry.lock b/poetry.lock
index 1f034cb1..b9788a14 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -737,6 +737,17 @@ files = [
     {file = "distro-1.9.0.tar.gz", hash = "sha256:2fa77c6fd8940f116ee1d6b94a2f90b13b5ea8d019b98bc8bafdcabcdd9bdbed"},
 ]
 
+[[package]]
+name = "docstring-parser"
+version = "0.16"
+description = "Parse Python docstrings in reST, Google and Numpydoc format"
+optional = true
+python-versions = ">=3.6,<4.0"
+files = [
+    {file = "docstring_parser-0.16-py3-none-any.whl", hash = "sha256:bf0a1387354d3691d102edef7ec124f219ef639982d096e26e3b60aeffa90637"},
+    {file = "docstring_parser-0.16.tar.gz", hash = "sha256:538beabd0af1e2db0146b6bd3caa526c35a34d61af9fd2887f3a8a27a739aa6e"},
+]
+
 [[package]]
 name = "docutils"
 version = "0.21.2"
@@ -917,6 +928,313 @@ test-downstream = ["aiobotocore (>=2.5.4,<3.0.0)", "dask-expr", "dask[dataframe,
 test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas", "panel", "paramiko", "pyarrow", "pyarrow (>=1)", "pyftpdlib", "pygit2", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "python-snappy", "requests", "smbprotocol", "tqdm", "urllib3", "zarr", "zstandard"]
 tqdm = ["tqdm"]
 
+[[package]]
+name = "google-api-core"
+version = "2.19.2"
+description = "Google API client core library"
+optional = true
+python-versions = ">=3.7"
+files = [
+    {file = "google_api_core-2.19.2-py3-none-any.whl", hash = "sha256:53ec0258f2837dd53bbd3d3df50f5359281b3cc13f800c941dd15a9b5a415af4"},
+    {file = "google_api_core-2.19.2.tar.gz", hash = "sha256:ca07de7e8aa1c98a8bfca9321890ad2340ef7f2eb136e558cee68f24b94b0a8f"},
+]
+
+[package.dependencies]
+google-auth = ">=2.14.1,<3.0.dev0"
+googleapis-common-protos = ">=1.56.2,<2.0.dev0"
+grpcio = [
+    {version = ">=1.33.2,<2.0dev", optional = true, markers = "python_version < \"3.11\" and extra == \"grpc\""},
+    {version = ">=1.49.1,<2.0dev", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""},
+]
+grpcio-status = [
+    {version = ">=1.33.2,<2.0.dev0", optional = true, markers = "python_version < \"3.11\" and extra == \"grpc\""},
+    {version = ">=1.49.1,<2.0.dev0", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""},
+]
+proto-plus = ">=1.22.3,<2.0.0dev"
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+requests = ">=2.18.0,<3.0.0.dev0"
+
+[package.extras]
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+grpcgcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"]
+grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"]
+
+[[package]]
+name = "google-auth"
+version = "2.34.0"
+description = "Google Authentication Library"
+optional = true
+python-versions = ">=3.7"
+files = [
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+    {file = "google_auth-2.34.0.tar.gz", hash = "sha256:8eb87396435c19b20d32abd2f984e31c191a15284af72eb922f10e5bde9c04cc"},
+]
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+[package.dependencies]
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+
+[package.extras]
+aiohttp = ["aiohttp (>=3.6.2,<4.0.0.dev0)", "requests (>=2.20.0,<3.0.0.dev0)"]
+enterprise-cert = ["cryptography", "pyopenssl"]
+pyopenssl = ["cryptography (>=38.0.3)", "pyopenssl (>=20.0.0)"]
+reauth = ["pyu2f (>=0.1.5)"]
+requests = ["requests (>=2.20.0,<3.0.0.dev0)"]
+
+[[package]]
+name = "google-cloud-aiplatform"
+version = "1.66.0"
+description = "Vertex AI API client library"
+optional = true
+python-versions = ">=3.8"
+files = [
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+    {file = "google_cloud_aiplatform-1.66.0-py2.py3-none-any.whl", hash = "sha256:3f7de6aab42f67b933a36bfb1354e36a5256f45780df92ac8b1b6361a145af49"},
+]
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+pydantic = "<3"
+shapely = "<3.0.0dev"
+
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+datasets = ["pyarrow (>=10.0.1)", "pyarrow (>=14.0.0)", "pyarrow (>=3.0.0,<8.0dev)"]
+endpoint = ["requests (>=2.28.1)"]
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+langchain-testing = ["absl-py", "cloudpickle (>=3.0,<4.0)", "google-cloud-trace (<2)", "langchain (>=0.1.16,<0.3)", "langchain-core (<0.3)", "langchain-google-vertexai (<2)", "openinference-instrumentation-langchain (>=0.1.19,<0.2)", "opentelemetry-exporter-gcp-trace (<2)", "opentelemetry-sdk (<2)", "orjson (<=3.10.6)", "pydantic (>=2.6.3,<3)", "pytest-xdist", "tenacity (<=8.3)"]
+lit = ["explainable-ai-sdk (>=1.0.0)", "lit-nlp (==0.4.0)", "pandas (>=1.0.0)", "tensorflow (>=2.3.0,<3.0.0dev)"]
+metadata = ["numpy (>=1.15.0)", "pandas (>=1.0.0)"]
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+private-endpoints = ["requests (>=2.28.1)", "urllib3 (>=1.21.1,<1.27)"]
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+description = "Google BigQuery API client library"
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+
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 version = "3.1.0"
@@ -996,6 +1314,22 @@ files = [
 docs = ["Sphinx", "furo"]
 test = ["objgraph", "psutil"]
 
+[[package]]
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+description = "IAM API client library"
+optional = true
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+
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 name = "grpcio"
 version = "1.66.1"
@@ -1069,6 +1403,22 @@ files = [
 grpcio = ">=1.66.1"
 protobuf = ">=5.26.1,<6.0dev"
 
+[[package]]
+name = "grpcio-status"
+version = "1.66.1"
+description = "Status proto mapping for gRPC"
+optional = true
+python-versions = ">=3.8"
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+protobuf = ">=5.26.1,<6.0dev"
+
 [[package]]
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 version = "1.66.1"
@@ -2793,6 +3143,23 @@ nodeenv = ">=0.11.1"
 pyyaml = ">=5.1"
 virtualenv = ">=20.10.0"
 
+[[package]]
+name = "proto-plus"
+version = "1.24.0"
+description = "Beautiful, Pythonic protocol buffers."
+optional = true
+python-versions = ">=3.7"
+files = [
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+
+[package.extras]
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+
 [[package]]
 name = "protobuf"
 version = "5.28.1"
@@ -2813,6 +3180,29 @@ files = [
     {file = "protobuf-5.28.1.tar.gz", hash = "sha256:42597e938f83bb7f3e4b35f03aa45208d49ae8d5bcb4bc10b9fc825e0ab5e423"},
 ]
 
+[[package]]
+name = "pyasn1"
+version = "0.6.1"
+description = "Pure-Python implementation of ASN.1 types and DER/BER/CER codecs (X.208)"
+optional = true
+python-versions = ">=3.8"
+files = [
+    {file = "pyasn1-0.6.1.tar.gz", hash = "sha256:6f580d2bdd84365380830acf45550f2511469f673cb4a5ae3857a3170128b034"},
+]
+
+[[package]]
+name = "pyasn1-modules"
+version = "0.4.1"
+description = "A collection of ASN.1-based protocols modules"
+optional = true
+python-versions = ">=3.8"
+files = [
+    {file = "pyasn1_modules-0.4.1.tar.gz", hash = "sha256:c28e2dbf9c06ad61c71a075c7e0f9fd0f1b0bb2d2ad4377f240d33ac2ab60a7c"},
+]
+
+[package.dependencies]
+pyasn1 = ">=0.4.6,<0.7.0"
+
 [[package]]
 name = "pycparser"
 version = "2.22"
@@ -3320,6 +3710,20 @@ urllib3 = ">=1.21.1,<3"
 socks = ["PySocks (>=1.5.6,!=1.5.7)"]
 use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
 
+[[package]]
+name = "rsa"
+version = "4.9"
+description = "Pure-Python RSA implementation"
+optional = true
+python-versions = ">=3.6,<4"
+files = [
+    {file = "rsa-4.9-py3-none-any.whl", hash = "sha256:90260d9058e514786967344d0ef75fa8727eed8a7d2e43ce9f4bcf1b536174f7"},
+    {file = "rsa-4.9.tar.gz", hash = "sha256:e38464a49c6c85d7f1351b0126661487a7e0a14a50f1675ec50eb34d4f20ef21"},
+]
+
+[package.dependencies]
+pyasn1 = ">=0.1.3"
+
 [[package]]
 name = "ruff"
 version = "0.3.7"
@@ -3658,6 +4062,64 @@ enabler = ["pytest-enabler (>=2.2)"]
 test = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "ini2toml[lite] (>=0.14)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "jaraco.test", "packaging (>=23.2)", "pip (>=19.1)", "pyproject-hooks (!=1.1)", "pytest (>=6,!=8.1.*)", "pytest-home (>=0.5)", "pytest-perf", "pytest-subprocess", "pytest-timeout", "pytest-xdist (>=3)", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel (>=0.44.0)"]
 type = ["importlib-metadata (>=7.0.2)", "jaraco.develop (>=7.21)", "mypy (==1.11.*)", "pytest-mypy"]
 
+[[package]]
+name = "shapely"
+version = "2.0.6"
+description = "Manipulation and analysis of geometric objects"
+optional = true
+python-versions = ">=3.7"
+files = [
+    {file = "shapely-2.0.6-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:29a34e068da2d321e926b5073539fd2a1d4429a2c656bd63f0bd4c8f5b236d0b"},
+    {file = "shapely-2.0.6-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e1c84c3f53144febf6af909d6b581bc05e8785d57e27f35ebaa5c1ab9baba13b"},
+    {file = "shapely-2.0.6-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2ad2fae12dca8d2b727fa12b007e46fbc522148a584f5d6546c539f3464dccde"},
+    {file = "shapely-2.0.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b3304883bd82d44be1b27a9d17f1167fda8c7f5a02a897958d86c59ec69b705e"},
+    {file = "shapely-2.0.6-cp310-cp310-win32.whl", hash = "sha256:3ec3a0eab496b5e04633a39fa3d5eb5454628228201fb24903d38174ee34565e"},
+    {file = "shapely-2.0.6-cp310-cp310-win_amd64.whl", hash = "sha256:28f87cdf5308a514763a5c38de295544cb27429cfa655d50ed8431a4796090c4"},
+    {file = "shapely-2.0.6-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:5aeb0f51a9db176da9a30cb2f4329b6fbd1e26d359012bb0ac3d3c7781667a9e"},
+    {file = "shapely-2.0.6-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:9a7a78b0d51257a367ee115f4d41ca4d46edbd0dd280f697a8092dd3989867b2"},
+    {file = "shapely-2.0.6-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f32c23d2f43d54029f986479f7c1f6e09c6b3a19353a3833c2ffb226fb63a855"},
+    {file = "shapely-2.0.6-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b3dc9fb0eb56498912025f5eb352b5126f04801ed0e8bdbd867d21bdbfd7cbd0"},
+    {file = "shapely-2.0.6-cp311-cp311-win32.whl", hash = "sha256:d93b7e0e71c9f095e09454bf18dad5ea716fb6ced5df3cb044564a00723f339d"},
+    {file = "shapely-2.0.6-cp311-cp311-win_amd64.whl", hash = "sha256:c02eb6bf4cfb9fe6568502e85bb2647921ee49171bcd2d4116c7b3109724ef9b"},
+    {file = "shapely-2.0.6-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:cec9193519940e9d1b86a3b4f5af9eb6910197d24af02f247afbfb47bcb3fab0"},
+    {file = "shapely-2.0.6-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:83b94a44ab04a90e88be69e7ddcc6f332da7c0a0ebb1156e1c4f568bbec983c3"},
+    {file = "shapely-2.0.6-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:537c4b2716d22c92036d00b34aac9d3775e3691f80c7aa517c2c290351f42cd8"},
+    {file = "shapely-2.0.6-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:98fea108334be345c283ce74bf064fa00cfdd718048a8af7343c59eb40f59726"},
+    {file = "shapely-2.0.6-cp312-cp312-win32.whl", hash = "sha256:42fd4cd4834747e4990227e4cbafb02242c0cffe9ce7ef9971f53ac52d80d55f"},
+    {file = "shapely-2.0.6-cp312-cp312-win_amd64.whl", hash = "sha256:665990c84aece05efb68a21b3523a6b2057e84a1afbef426ad287f0796ef8a48"},
+    {file = "shapely-2.0.6-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:42805ef90783ce689a4dde2b6b2f261e2c52609226a0438d882e3ced40bb3013"},
+    {file = "shapely-2.0.6-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:6d2cb146191a47bd0cee8ff5f90b47547b82b6345c0d02dd8b25b88b68af62d7"},
+    {file = "shapely-2.0.6-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e3fdef0a1794a8fe70dc1f514440aa34426cc0ae98d9a1027fb299d45741c381"},
+    {file = "shapely-2.0.6-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2c665a0301c645615a107ff7f52adafa2153beab51daf34587170d85e8ba6805"},
+    {file = "shapely-2.0.6-cp313-cp313-win32.whl", hash = "sha256:0334bd51828f68cd54b87d80b3e7cee93f249d82ae55a0faf3ea21c9be7b323a"},
+    {file = "shapely-2.0.6-cp313-cp313-win_amd64.whl", hash = "sha256:d37d070da9e0e0f0a530a621e17c0b8c3c9d04105655132a87cfff8bd77cc4c2"},
+    {file = "shapely-2.0.6-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:fa7468e4f5b92049c0f36d63c3e309f85f2775752e076378e36c6387245c5462"},
+    {file = "shapely-2.0.6-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ed5867e598a9e8ac3291da6cc9baa62ca25706eea186117034e8ec0ea4355653"},
+    {file = "shapely-2.0.6-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:81d9dfe155f371f78c8d895a7b7f323bb241fb148d848a2bf2244f79213123fe"},
+    {file = "shapely-2.0.6-cp37-cp37m-win32.whl", hash = "sha256:fbb7bf02a7542dba55129062570211cfb0defa05386409b3e306c39612e7fbcc"},
+    {file = "shapely-2.0.6-cp37-cp37m-win_amd64.whl", hash = "sha256:837d395fac58aa01aa544495b97940995211e3e25f9aaf87bc3ba5b3a8cd1ac7"},
+    {file = "shapely-2.0.6-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:c6d88ade96bf02f6bfd667ddd3626913098e243e419a0325ebef2bbd481d1eb6"},
+    {file = "shapely-2.0.6-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:8b3b818c4407eaa0b4cb376fd2305e20ff6df757bf1356651589eadc14aab41b"},
+    {file = "shapely-2.0.6-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1bbc783529a21f2bd50c79cef90761f72d41c45622b3e57acf78d984c50a5d13"},
+    {file = "shapely-2.0.6-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2423f6c0903ebe5df6d32e0066b3d94029aab18425ad4b07bf98c3972a6e25a1"},
+    {file = "shapely-2.0.6-cp38-cp38-win32.whl", hash = "sha256:2de00c3bfa80d6750832bde1d9487e302a6dd21d90cb2f210515cefdb616e5f5"},
+    {file = "shapely-2.0.6-cp38-cp38-win_amd64.whl", hash = "sha256:3a82d58a1134d5e975f19268710e53bddd9c473743356c90d97ce04b73e101ee"},
+    {file = "shapely-2.0.6-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:392f66f458a0a2c706254f473290418236e52aa4c9b476a072539d63a2460595"},
+    {file = "shapely-2.0.6-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:eba5bae271d523c938274c61658ebc34de6c4b33fdf43ef7e938b5776388c1be"},
+    {file = "shapely-2.0.6-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7060566bc4888b0c8ed14b5d57df8a0ead5c28f9b69fb6bed4476df31c51b0af"},
+    {file = "shapely-2.0.6-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b02154b3e9d076a29a8513dffcb80f047a5ea63c897c0cd3d3679f29363cf7e5"},
+    {file = "shapely-2.0.6-cp39-cp39-win32.whl", hash = "sha256:44246d30124a4f1a638a7d5419149959532b99dfa25b54393512e6acc9c211ac"},
+    {file = "shapely-2.0.6-cp39-cp39-win_amd64.whl", hash = "sha256:2b542d7f1dbb89192d3512c52b679c822ba916f93479fa5d4fc2fe4fa0b3c9e8"},
+    {file = "shapely-2.0.6.tar.gz", hash = "sha256:997f6159b1484059ec239cacaa53467fd8b5564dabe186cd84ac2944663b0bf6"},
+]
+
+[package.dependencies]
+numpy = ">=1.14,<3"
+
+[package.extras]
+docs = ["matplotlib", "numpydoc (==1.1.*)", "sphinx", "sphinx-book-theme", "sphinx-remove-toctrees"]
+test = ["pytest", "pytest-cov"]
+
 [[package]]
 name = "six"
 version = "1.16.0"
@@ -4698,10 +5160,10 @@ test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools",
 type = ["pytest-mypy"]
 
 [extras]
-external-clients = ["pinecone-client", "weaviate-client"]
+external-clients = ["google-cloud-aiplatform", "pinecone-client", "weaviate-client"]
 kg-creation-tools = ["pygraphviz", "pygraphviz"]
 
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.8.1"
-content-hash = "30d3f785f9e878afce94706e84745cac151d8f10bb7735e78499ddb8e907c8dc"
+content-hash = "09f45482c429dd08e9e95ac071a12f9a1737bd060ea80edf6bb4d34809de8d96"
diff --git a/pyproject.toml b/pyproject.toml
index b2ef387a..323c4a69 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -41,6 +41,7 @@ pygraphviz = [
     {version = "^1.13.0", python = ">=3.10,<4.0.0", optional = true},
     {version = "^1.0.0", python = "<3.10", optional = true}
 ]
+google-cloud-aiplatform = {version = "^1.66.0", optional = true}
 
 [tool.poetry.group.dev.dependencies]
 pylint = "^3.1.0"
@@ -75,7 +76,7 @@ pygraphviz = [
 ]
 
 [tool.poetry.extras]
-external_clients = ["weaviate-client", "pinecone-client"]
+external_clients = ["weaviate-client", "pinecone-client", "google-cloud-aiplatform"]
 kg_creation_tools = ["pygraphviz"]
 
 [build-system]
diff --git a/src/neo4j_graphrag/embeddings/openai.py b/src/neo4j_graphrag/embeddings/openai.py
index a85ffe87..7e2b5269 100644
--- a/src/neo4j_graphrag/embeddings/openai.py
+++ b/src/neo4j_graphrag/embeddings/openai.py
@@ -21,6 +21,14 @@
 
 
 class OpenAIEmbeddings(Embedder):
+    """
+    OpenAI embeddings class.
+    This class uses the OpenAI python client to generate embeddings for text data.
+
+    Args:
+        model (str): The name of the OpenAI embedding model to use. Defaults to "text-embedding-ada-002".
+    """
+
     def __init__(self, model: str = "text-embedding-ada-002") -> None:
         try:
             import openai
@@ -34,6 +42,13 @@ def __init__(self, model: str = "text-embedding-ada-002") -> None:
         self.model = model
 
     def embed_query(self, text: str, **kwargs: Any) -> list[float]:
+        """
+        Generate embeddings for a given query using a OpenAI text embedding model.
+
+        Args:
+            text (str): The text to generate an embedding for.
+            **kwargs (Any): Additional arguments to pass to the OpenAI embedding generation function.
+        """
         response = self.openai_model.embeddings.create(
             input=text, model=self.model, **kwargs
         )
diff --git a/src/neo4j_graphrag/embeddings/vertexai.py b/src/neo4j_graphrag/embeddings/vertexai.py
new file mode 100644
index 00000000..5b25e3c6
--- /dev/null
+++ b/src/neo4j_graphrag/embeddings/vertexai.py
@@ -0,0 +1,56 @@
+#  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 __future__ import annotations
+
+from typing import Any
+
+from neo4j_genai.embedder import Embedder
+
+try:
+    from vertexai.language_models import TextEmbeddingInput, TextEmbeddingModel
+except ImportError:
+    raise ImportError(
+        "Could not import Vertex AI python client. "
+        "Please install it with `pip install google-cloud-aiplatform`."
+    )
+
+
+class VertexAIEmbeddings(Embedder):
+    """
+    Vertex AI embeddings class.
+    This class uses the Vertex AI python client to generate embeddings for text data.
+
+    Args:
+        model (str): The name of the Vertex AI text embedding model to use. Defaults to "text-embedding-004".
+    """
+
+    def __init__(self, model: str = "text-embedding-004") -> None:
+        self.vertexai_model = TextEmbeddingModel.from_pretrained(model)
+
+    def embed_query(
+        self, text: str, task_type: str = "RETRIEVAL_QUERY", **kwargs: Any
+    ) -> list[float]:
+        """
+        Generate embeddings for a given query using a Vertex AI text embedding model.
+
+        Args:
+            text (str): The text to generate an embedding for.
+            task_type (str): The type of the text embedding task. Defaults to "RETRIEVAL_QUERY". See https://cloud.google.com/vertex-ai/generative-ai/docs/model-reference/text-embeddings-api#tasktype for a full list.
+            **kwargs (Any): Additional keyword arguments to pass to the Vertex AI client's get_embeddings method.
+        """
+        inputs = [TextEmbeddingInput(text, task_type)]
+        embeddings = self.vertexai_model.get_embeddings(inputs, **kwargs)
+        return embeddings[0].values  # type: ignore