diff --git a/.github/workflows/python_check.yml b/.github/workflows/python_check.yml
new file mode 100644
index 0000000..06eed3b
--- /dev/null
+++ b/.github/workflows/python_check.yml
@@ -0,0 +1,79 @@
+name: Python Check
+
+on:
+  push:
+    branches: [ "main" ]
+    paths:
+      - '.github/workflows/python_check.yml'
+      - 'bindings/python/src/**'
+      - 'bindings/python/tests/**'
+      - 'bindings/python/pyproject.toml'
+      - 'bindings/python/pdm.lock'
+  pull_request:
+    branches: [ "main" ]
+    paths:
+      - '.github/workflows/python_check.yml'
+      - 'bindings/python/src/**'
+      - 'bindings/python/tests/**'
+      - 'bindings/python/pyproject.toml'
+      - 'bindings/python/pdm.lock'
+  merge_group:
+  workflow_dispatch:
+
+jobs:
+  lint:
+    strategy:
+      matrix:
+        python-version: ["3.8"]
+        os: [ubuntu-latest]
+    runs-on: ${{ matrix.os }}
+
+    steps:
+    - uses: actions/checkout@v3
+    - name: Setup PDM
+      uses: pdm-project/setup-pdm@v3
+      with:
+        python-version: ${{ matrix.python-version }}
+
+    - name: Install Dependencies
+      working-directory: bindings/python
+      run: |
+        pdm sync -d -G lint
+    - name: Run Lint Checks
+      working-directory: bindings/python
+      run: |
+        pdm run check
+
+  test:
+    strategy:
+      matrix:
+        python-version: ["3.8", "3.9", "3.10", "3.11"]
+        os: [ubuntu-latest]
+    runs-on: ${{ matrix.os }}
+
+    steps:
+    - uses: actions/checkout@v3
+    - name: Setup PDM
+      uses: pdm-project/setup-pdm@v3
+      with:
+        python-version: ${{ matrix.python-version }}
+
+    - name: Install Dependencies
+      working-directory: bindings/python
+      run: |
+        pdm sync -d
+    
+    # - name: Install Docker for macOS
+    #   if: matrix.os == 'macos-latest'
+    #   run: |
+    #     brew install docker
+    #     colima start
+
+    - name: Start Postgres
+      run: |
+        docker run --name pgvecto-rs-demo -e POSTGRES_PASSWORD=mysecretpassword -p 5432:5432 -d tensorchord/pgvecto-rs:latest
+    
+    - name: Run Tests
+      working-directory: bindings/python
+      run: |
+        pdm run test
\ No newline at end of file
diff --git a/.github/workflows/python_release.yml b/.github/workflows/python_release.yml
new file mode 100644
index 0000000..0f413f9
--- /dev/null
+++ b/.github/workflows/python_release.yml
@@ -0,0 +1,25 @@
+name: Python Release
+
+on:
+  workflow_dispatch:
+
+permissions:
+  contents: write
+  pull-requests: read
+
+jobs:
+  release:
+    name: upload release to PyPI
+    runs-on: ubuntu-latest
+    permissions:
+      # IMPORTANT: this permission is mandatory for trusted publishing
+      id-token: write
+
+    steps:
+    - uses: actions/checkout@v3
+    - name: Setup PDM
+      uses: pdm-project/setup-pdm@v3
+
+    - name: Publish package distributions to PyPI
+      working-directory: bindings/python
+      run: pdm publish
\ No newline at end of file
diff --git a/.gitignore b/.gitignore
index f2d4729..430d929 100644
--- a/.gitignore
+++ b/.gitignore
@@ -5,4 +5,6 @@
 **/*.rs.bk
 Cargo.lock
 .vscode
-.ignore
\ No newline at end of file
+.ignore
+__pycache__
+.pytest_cache
\ No newline at end of file
diff --git a/bindings/python/.gitignore b/bindings/python/.gitignore
new file mode 100644
index 0000000..4b3ab30
--- /dev/null
+++ b/bindings/python/.gitignore
@@ -0,0 +1,162 @@
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/#use-with-ide
+.pdm.toml
+.pdm-python
+.pdm-build/
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/
diff --git a/bindings/python/LICENSE b/bindings/python/LICENSE
new file mode 100644
index 0000000..261eeb9
--- /dev/null
+++ b/bindings/python/LICENSE
@@ -0,0 +1,201 @@
+                                 Apache License
+                           Version 2.0, January 2004
+                        http://www.apache.org/licenses/
+
+   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+
+   1. Definitions.
+
+      "License" shall mean the terms and conditions for use, reproduction,
+      and distribution as defined by Sections 1 through 9 of this document.
+
+      "Licensor" shall mean the copyright owner or entity authorized by
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+
+      "Legal Entity" shall mean the union of the acting entity and all
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+      direction or management of such entity, whether by contract or
+      otherwise, or (ii) ownership of fifty percent (50%) or more of the
+      outstanding shares, or (iii) beneficial ownership of such entity.
+
+      "You" (or "Your") shall mean an individual or Legal Entity
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+      "Source" form shall mean the preferred form for making modifications,
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+      "Work" shall mean the work of authorship, whether in Source or
+      Object form, made available under the License, as indicated by a
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+      "Derivative Works" shall mean any work, whether in Source or Object
+      form, that is based on (or derived from) the Work and for which the
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+      of this License, Derivative Works shall not include works that remain
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+      "Contribution" shall mean any work of authorship, including
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+   4. Redistribution. You may reproduce and distribute copies of the
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+      (a) You must give any other recipients of the Work or
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+      (c) You must retain, in the Source form of any Derivative Works
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+
+      (d) If the Work includes a "NOTICE" text file as part of its
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+          notices within Derivative Works that You distribute, alongside
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+          that such additional attribution notices cannot be construed
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+
+      You may add Your own copyright statement to Your modifications and
+      may provide additional or different license terms and conditions
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+      the conditions stated in this License.
+
+   5. Submission of Contributions. Unless You explicitly state otherwise,
+      any Contribution intentionally submitted for inclusion in the Work
+      by You to the Licensor shall be under the terms and conditions of
+      this License, without any additional terms or conditions.
+      Notwithstanding the above, nothing herein shall supersede or modify
+      the terms of any separate license agreement you may have executed
+      with Licensor regarding such Contributions.
+
+   6. Trademarks. This License does not grant permission to use the trade
+      names, trademarks, service marks, or product names of the Licensor,
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+
+   7. Disclaimer of Warranty. Unless required by applicable law or
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+      Contributor provides its Contributions) on an "AS IS" BASIS,
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+   8. Limitation of Liability. In no event and under no legal theory,
+      whether in tort (including negligence), contract, or otherwise,
+      unless required by applicable law (such as deliberate and grossly
+      negligent acts) or agreed to in writing, shall any Contributor be
+      liable to You for damages, including any direct, indirect, special,
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+      Work (including but not limited to damages for loss of goodwill,
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+   9. Accepting Warranty or Additional Liability. While redistributing
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+      on Your own behalf and on Your sole responsibility, not on behalf
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+      incurred by, or claims asserted against, such Contributor by reason
+      of your accepting any such warranty or additional liability.
+
+   END OF TERMS AND CONDITIONS
+
+   APPENDIX: How to apply the Apache License to your work.
+
+      To apply the Apache License to your work, attach the following
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+   Copyright [yyyy] [name of copyright owner]
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+   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
+
+       http://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.
diff --git a/bindings/python/README.md b/bindings/python/README.md
new file mode 100644
index 0000000..d0e39af
--- /dev/null
+++ b/bindings/python/README.md
@@ -0,0 +1,125 @@
+# Python bindings for pgvector.rs
+
+[![pdm-managed](https://img.shields.io/badge/pdm-managed-blueviolet)](https://pdm.fming.dev)
+
+Currently supports [SQLAlchemy](https://github.com/sqlalchemy/sqlalchemy).
+
+## Usage
+
+Install from PyPI:
+```bash
+pip install pgvecto_rs
+```
+
+See the usage examples:
+- [SQLAlchemy](#SQLAlchemy)
+
+### SQLAlchemy
+
+Install [SQLAlchemy](https://github.com/sqlalchemy/sqlalchemy) and [psycopg3](https://www.psycopg.org/psycopg3/docs/basic/install.html)
+```bash
+pip install "psycopg[binary]" sqlalchemy
+```
+
+Then write your code. For example:
+```python
+import numpy as np
+from sqlalchemy import create_engine, select, insert, types
+from sqlalchemy import Integer, String
+from pgvector_rs.sqlalchemy import Vector
+from sqlalchemy.orm import Session, DeclarativeBase, mapped_column, Mapped
+
+URL = "postgresql+psycopg://<...>"
+
+# Define the ORM model
+
+
+class Base(DeclarativeBase):
+    pass
+
+
+class Document(Base):
+    __tablename__ = "documents"
+
+    id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
+    text: Mapped[str] = mapped_column(String)
+    embedding: Mapped[np.ndarray] = mapped_column(Vector(3))
+
+    def __repr__(self) -> str:
+        return f"{self.text}: {self.embedding}"
+
+
+# Connect to the DB and create the table
+engine = create_engine(URL)
+Document.metadata.create_all(engine)
+
+with Session(engine) as session:
+    # Insert 3 rows into the table
+    t1 = insert(Document).values(text="hello world", embedding=[1, 2, 3])
+    t2 = insert(Document).values(text="hello postgres", embedding=[1, 2, 4])
+    t3 = insert(Document).values(text="hello pgvecto.rs", embedding=[1, 3, 4])
+    for t in [t1, t2, t3]:
+        session.execute(t)
+    session.commit()
+
+    # Select the row "hello pgvecto.rs"
+    stmt = select(Document).where(Document.text == "hello pgvecto.rs")
+    target = session.scalar(stmt)
+
+    # Select all the rows and sort them
+    # by the squared_euclidean_distance to "hello pgvecto.rs"
+    stmt = select(
+        Document.text,
+        Document.embedding.squared_euclidean_distance(target.embedding).label(
+            "distance"
+        ),
+    ).order_by("distance")
+    for doc in session.execute(stmt):
+        print(doc)
+
+# Drop the table
+Document.metadata.drop_all(engine)
+```
+The output will be:
+```
+('hello pgvecto.rs', 0.0)
+('hello postgres', 1.0)
+('hello world', 2.0)
+```
+
+All the operators include:
+- `squared_euclidean_distance`
+- `negative_dot_product_distance`
+- `negative_cosine_distance`
+
+## Development
+
+This package is managed by [PDM](https://pdm.fming.dev).
+
+Set up things:
+```bash
+pdm venv create
+pdm use # select the venv inside the project path
+pdm sync
+```
+
+Run lint:
+```bash
+pdm run format
+pdm run check
+```
+
+Run test in current environment:
+```bash
+pdm run test
+```
+
+
+## Test
+
+[Tox](https://tox.wiki) is used to test the package locally.
+
+Run test in all environment:
+```bash
+tox run
+```
\ No newline at end of file
diff --git a/bindings/python/pdm.lock b/bindings/python/pdm.lock
new file mode 100644
index 0000000..50cf351
--- /dev/null
+++ b/bindings/python/pdm.lock
@@ -0,0 +1,409 @@
+# This file is @generated by PDM.
+# It is not intended for manual editing.
+
+[metadata]
+groups = ["default", "dev", "lint"]
+cross_platform = true
+static_urls = false
+lock_version = "4.3"
+content_hash = "sha256:32c5bb376292d321bc5237e9df415259c527346f042aa4c6dde68bd0adc10525"
+
+[[package]]
+name = "backports-zoneinfo"
+version = "0.2.1"
+requires_python = ">=3.6"
+summary = "Backport of the standard library zoneinfo module"
+files = [
+    {file = "backports.zoneinfo-0.2.1-cp38-cp38-macosx_10_14_x86_64.whl", hash = "sha256:8961c0f32cd0336fb8e8ead11a1f8cd99ec07145ec2931122faaac1c8f7fd987"},
+    {file = "backports.zoneinfo-0.2.1-cp38-cp38-manylinux1_i686.whl", hash = "sha256:e81b76cace8eda1fca50e345242ba977f9be6ae3945af8d46326d776b4cf78d1"},
+    {file = "backports.zoneinfo-0.2.1-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:7b0a64cda4145548fed9efc10322770f929b944ce5cee6c0dfe0c87bf4c0c8c9"},
+    {file = "backports.zoneinfo-0.2.1-cp38-cp38-win32.whl", hash = "sha256:1b13e654a55cd45672cb54ed12148cd33628f672548f373963b0bff67b217328"},
+    {file = "backports.zoneinfo-0.2.1-cp38-cp38-win_amd64.whl", hash = "sha256:4a0f800587060bf8880f954dbef70de6c11bbe59c673c3d818921f042f9954a6"},
+    {file = "backports.zoneinfo-0.2.1.tar.gz", hash = "sha256:fadbfe37f74051d024037f223b8e001611eac868b5c5b06144ef4d8b799862f2"},
+]
+
+[[package]]
+name = "black"
+version = "23.10.0"
+requires_python = ">=3.8"
+summary = "The uncompromising code formatter."
+dependencies = [
+    "click>=8.0.0",
+    "mypy-extensions>=0.4.3",
+    "packaging>=22.0",
+    "pathspec>=0.9.0",
+    "platformdirs>=2",
+    "tomli>=1.1.0; python_version < \"3.11\"",
+    "typing-extensions>=4.0.1; python_version < \"3.11\"",
+]
+files = [
+    {file = "black-23.10.0-cp311-cp311-macosx_10_16_arm64.whl", hash = "sha256:30b78ac9b54cf87bcb9910ee3d499d2bc893afd52495066c49d9ee6b21eee06e"},
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+    {file = "typing_extensions-4.8.0-py3-none-any.whl", hash = "sha256:8f92fc8806f9a6b641eaa5318da32b44d401efaac0f6678c9bc448ba3605faa0"},
+    {file = "typing_extensions-4.8.0.tar.gz", hash = "sha256:df8e4339e9cb77357558cbdbceca33c303714cf861d1eef15e1070055ae8b7ef"},
+]
+
+[[package]]
+name = "tzdata"
+version = "2023.3"
+requires_python = ">=2"
+summary = "Provider of IANA time zone data"
+files = [
+    {file = "tzdata-2023.3-py2.py3-none-any.whl", hash = "sha256:7e65763eef3120314099b6939b5546db7adce1e7d6f2e179e3df563c70511eda"},
+    {file = "tzdata-2023.3.tar.gz", hash = "sha256:11ef1e08e54acb0d4f95bdb1be05da659673de4acbd21bf9c69e94cc5e907a3a"},
+]
diff --git a/bindings/python/pyproject.toml b/bindings/python/pyproject.toml
new file mode 100644
index 0000000..29aa2dc
--- /dev/null
+++ b/bindings/python/pyproject.toml
@@ -0,0 +1,39 @@
+[project]
+name = "pgvecto_rs"
+version = "0.1.0"
+description = "Python binding for pgvecto.rs"
+authors = [
+    {name = "盐粒 Yanli", email = "mail@yanli.one"},
+]
+dependencies = [
+    "numpy>=1.23",
+    "toml>=0.10",
+]
+requires-python = ">=3.8"
+readme = "README.md"
+license = {text = "Apache-2.0"}
+
+[build-system]
+requires = ["pdm-backend"]
+build-backend = "pdm.backend"
+
+[project.optional-dependencies]
+lint = [
+    "black>=23.10.0",
+    "ruff>=0.1.1",
+]
+
+[tool.pdm.dev-dependencies]
+dev = [
+    "SQLAlchemy>=2",
+    "pytest>=7.4",
+    "psycopg[binary]>=3.1.12",
+]
+
+[tool.pdm.scripts]
+test = "pytest tests/"
+format = {composite = ["black .", "ruff check --fix ."]}
+check = {composite = ["black --check .", "ruff check ."]}
+
+[tool.pytest.ini_options]
+addopts = "-r aR"
\ No newline at end of file
diff --git a/bindings/python/src/pgvecto_rs/__init__.py b/bindings/python/src/pgvecto_rs/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/bindings/python/src/pgvecto_rs/sqlalchemy/__init__.py b/bindings/python/src/pgvecto_rs/sqlalchemy/__init__.py
new file mode 100644
index 0000000..167e9b9
--- /dev/null
+++ b/bindings/python/src/pgvecto_rs/sqlalchemy/__init__.py
@@ -0,0 +1,38 @@
+import sqlalchemy.types as types
+from ..utils import serializer
+
+
+class Vector(types.UserDefinedType):
+    cache_ok = True
+
+    def __init__(self, dim):
+        if dim < 0:
+            raise ValueError("negative dim is not allowed")
+        self.dim = dim
+
+    def get_col_spec(self, **kw):
+        if self.dim is None or self.dim == 0:
+            return "VECTOR"
+        return "VECTOR({})".format(self.dim)
+
+    def bind_processor(self, dialect):
+        def _processor(value):
+            return serializer.to_db_str(value, self.dim)
+
+        return _processor
+
+    def result_processor(self, dialect, coltype):
+        def _processor(value):
+            return serializer.from_db_str(value)
+
+        return _processor
+
+    class comparator_factory(types.UserDefinedType.Comparator):
+        def squared_euclidean_distance(self, other):
+            return self.op("<->", return_type=types.Float)(other)
+
+        def negative_dot_product_distance(self, other):
+            return self.op("<#>", return_type=types.Float)(other)
+
+        def negative_cosine_distance(self, other):
+            return self.op("<=>", return_type=types.Float)(other)
diff --git a/bindings/python/src/pgvecto_rs/utils/__init__.py b/bindings/python/src/pgvecto_rs/utils/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/bindings/python/src/pgvecto_rs/utils/decorators.py b/bindings/python/src/pgvecto_rs/utils/decorators.py
new file mode 100644
index 0000000..fbbeb16
--- /dev/null
+++ b/bindings/python/src/pgvecto_rs/utils/decorators.py
@@ -0,0 +1,47 @@
+import numpy as np
+from functools import wraps
+
+
+def ignore_none(func):
+    @wraps(func)
+    def _func(value, *args, **kwargs):
+        return value if value is None else func(value, *args, **kwargs)
+
+    return _func
+
+
+def ignore_ndarray(func):
+    @wraps(func)
+    def _func(value, *args, **kwargs):
+        return value if isinstance(value, np.ndarray) else func(value, *args, **kwargs)
+
+    return _func
+
+
+def validate_ndarray(func):
+    """Validate ndarray data type for vector"""
+
+    @wraps(func)
+    def _func(value: np.ndarray, *args, **kwargs):
+        if isinstance(value, np.ndarray):
+            if value.ndim != 1:
+                raise ValueError("ndarray must be 1D for vector")
+            if not np.issubdtype(value.dtype, np.number):
+                raise ValueError("ndarray data type must be numeric for vector")
+        return func(value, *args, **kwargs)
+
+    return _func
+
+
+def validate_builtin_list(func):
+    """Validate list data type for vector and convert to ndarray"""
+
+    @wraps(func)
+    def _func(value: list, *args, **kwargs):
+        if isinstance(value, list):
+            if not all(isinstance(x, (int, float)) for x in value):
+                raise ValueError("list data type must be numeric for vector")
+            value = np.array(value, dtype=np.float32)
+        return func(value, *args, **kwargs)
+
+    return _func
diff --git a/bindings/python/src/pgvecto_rs/utils/serializer.py b/bindings/python/src/pgvecto_rs/utils/serializer.py
new file mode 100644
index 0000000..6e25d0a
--- /dev/null
+++ b/bindings/python/src/pgvecto_rs/utils/serializer.py
@@ -0,0 +1,19 @@
+from typing import Optional
+import numpy as np
+from . import decorators
+
+
+@decorators.ignore_none
+@decorators.ignore_ndarray  # could be ndarray if already cast by lower-level driver
+def from_db_str(value):
+    return np.array(value[1:-1].split(","), dtype=np.float32)
+
+
+@decorators.ignore_none
+@decorators.validate_builtin_list
+@decorators.validate_ndarray
+def to_db_str(value: np.ndarray, dim: Optional[int] = None):
+    if dim is not None and value.shape[0] != dim:
+        raise ValueError("expected %d dimensions, not %d" % (dim, len(value)))
+
+    return "[" + ",".join([str(float(v)) for v in value]) + "]"
diff --git a/bindings/python/tests/__init__.py b/bindings/python/tests/__init__.py
new file mode 100644
index 0000000..8f058c4
--- /dev/null
+++ b/bindings/python/tests/__init__.py
@@ -0,0 +1,99 @@
+import os
+import toml
+import numpy as np
+
+PORT = os.getenv("DB_PORT", 5432)
+HOST = os.getenv("DB_HOST", "localhost")
+USER = os.getenv("DB_USER", "postgres")
+PASS = os.getenv("DB_PASS", "mysecretpassword")
+DB_NAME = os.getenv("DB_NAME", "postgres")
+
+# Run tests with shell:
+#   DB_HOST=localhost DB_USER=postgres DB_PASS=password DB_NAME=postgres python3 -m pytest bindings/python/tests/
+URL = "postgresql://{username}:{password}@{host}:{port}/{db_name}".format(
+    port=PORT,
+    host=HOST,
+    username=USER,
+    password=PASS,
+    db_name=DB_NAME,
+)
+
+
+# ==== test_create_index ====
+
+TOML_SETTINGS = {
+    "flat": "$${}$$".format(
+        toml.dumps(
+            {
+                "capacity": 2097152,
+                "algorithm": {"flat": {}},
+            }
+        )
+    ),
+    "hnsw": "$${}$$".format(
+        toml.dumps(
+            {
+                "capacity": 2097152,
+                "algorithm": {"hnsw": {}},
+            }
+        )
+    ),
+    # "ivf": "$${}$$".format(
+    #     toml.dumps(
+    #         {
+    #             "capacity": 2097152,
+    #             "algorithm": {"ivf": {}},
+    #         }
+    #     )
+    # ),
+    # "vamana": "$${}$$".format(
+    #     toml.dumps(
+    #         {
+    #             "capacity": 2097152,
+    #             "algorithm": {"vamana": {}},
+    #         }
+    #     )
+    # ),
+}
+
+# ==== test_invalid_insert ====
+INVALID_VECTORS = [
+    [1, 2, 3, 4],
+    [
+        1,
+    ],
+    [[1, 2], [3, 4], [5, 6]],
+    ["123.", "123", "a"],
+    np.array([1, 2, 3, 4]),
+    np.array([1, "3", 3]),
+    np.zeros(shape=(1, 2)),
+]
+
+# =================================
+# Semetic search tests
+# =================================
+VECTORS = [
+    [1, 2, 3],
+    [0.0, -45, 2.34],
+    np.ones(shape=(3)),
+]
+OP_SQRT_EUCLID_DIS = [0, 0, 0]
+EXPECTED_SQRT_EUCLID_DIS = [14.0, 2030.4756, 3.0]
+OP_NEG_DOT_PROD_DIS = [1, 2, 4]
+EXPECTED_NEG_DOT_PROD_DIS = [-17.0, 80.64, -7.0]
+OP_NEG_COS_DIS = [3, 2, 1]
+EXPECTED_NEG_COS_DIS = [-0.7142857, 0.5199225, -0.92582005]
+
+# ==== test_delete ====
+LEN_AFT_DEL = 2
+
+__all__ = [
+    "URL",
+    "TOML_SETTINGS",
+    "INVALID_VECTORS",
+    "VECTORS",
+    "EXPECTED_SQRT_EUCLID_DIS",
+    "EXPECTED_NEG_DOT_PROD_DIS",
+    "EXPECTED_NEG_COS_DIS",
+    "LEN_AFT_DEL",
+]
diff --git a/bindings/python/tests/test_sqlalchemy.py b/bindings/python/tests/test_sqlalchemy.py
new file mode 100644
index 0000000..f14cfea
--- /dev/null
+++ b/bindings/python/tests/test_sqlalchemy.py
@@ -0,0 +1,147 @@
+import pytest
+import numpy as np
+from tests import (
+    URL,
+    TOML_SETTINGS,
+    VECTORS,
+    INVALID_VECTORS,
+    OP_NEG_DOT_PROD_DIS,
+    EXPECTED_SQRT_EUCLID_DIS,
+    OP_SQRT_EUCLID_DIS,
+    EXPECTED_NEG_DOT_PROD_DIS,
+    OP_NEG_COS_DIS,
+    EXPECTED_NEG_COS_DIS,
+    LEN_AFT_DEL,
+)
+from sqlalchemy import create_engine, select, text, insert, delete
+from sqlalchemy import Integer, Index
+from pgvecto_rs.sqlalchemy import Vector
+from sqlalchemy.orm import Session, DeclarativeBase, mapped_column, Mapped
+from sqlalchemy.exc import StatementError
+
+
+class Base(DeclarativeBase):
+    pass
+
+
+class Document(Base):
+    __tablename__ = "tb_test_item"
+
+    id: Mapped[int] = mapped_column(Integer, primary_key=True)
+    embedding: Mapped[np.ndarray] = mapped_column(Vector(3))
+
+    def __repr__(self) -> str:
+        return f"{self.embedding}"
+
+
+@pytest.fixture(scope="module")
+def session():
+    """
+    Connect to the test db pointed by the URL. Can check more details
+    in `tests/__init__.py`
+    """
+
+    engine = create_engine(URL.replace("postgresql", "postgresql+psycopg"))
+
+    # ensure that we have installed pgvector.rs extension
+    with engine.connect() as conn:
+        conn.execute(text("CREATE EXTENSION IF NOT EXISTS vectors"))
+        conn.execute(text("DROP TABLE IF EXISTS tb_test_item"))
+        conn.commit()
+
+    with Session(engine) as session:
+        Document.metadata.create_all(engine)
+        try:
+            yield session
+        finally:
+            session.rollback()
+            Document.metadata.drop_all(engine)
+
+
+# =================================
+# Prefix functional tests
+# =================================
+
+
+@pytest.mark.parametrize("index_name,index_setting", TOML_SETTINGS.items())
+def test_create_index(session: Session, index_name: str, index_setting: str):
+    index = Index(
+        index_name,
+        Document.embedding,
+        postgresql_using="vectors",
+        postgresql_with={"options": index_setting},
+        postgresql_ops={"embedding": "l2_ops"},
+    )
+    index.create(session.bind)
+    session.rollback()
+
+
+@pytest.mark.parametrize("i,e", enumerate(INVALID_VECTORS))
+def test_invalid_insert(session: Session, i: int, e: np.ndarray):
+    try:
+        session.execute(insert(Document).values(id=i, embedding=e))
+    except StatementError:
+        pass
+    else:
+        raise AssertionError(
+            "failed to raise invalid value error for {}th vector {}".format(i, e),
+        )
+    finally:
+        session.rollback()
+
+
+# =================================
+# Semetic search tests
+# =================================
+
+
+def test_insert(session: Session):
+    for stat in [
+        insert(Document).values(id=i, embedding=e) for i, e in enumerate(VECTORS)
+    ]:
+        session.execute(stat)
+    session.commit()
+    for row in session.scalars(select(Document)):
+        assert np.allclose(row.embedding, VECTORS[row.id], atol=1e-10)
+
+
+def test_squared_euclidean_distance(session: Session):
+    for row in session.execute(
+        select(
+            Document.id,
+            Document.embedding.squared_euclidean_distance(OP_SQRT_EUCLID_DIS),
+        )
+    ):
+        (i, res) = row
+        assert np.allclose(EXPECTED_SQRT_EUCLID_DIS[i], res, atol=1e-10)
+
+
+def test_negative_dot_product_distance(session: Session):
+    for row in session.execute(
+        select(
+            Document.id,
+            Document.embedding.negative_dot_product_distance(OP_NEG_DOT_PROD_DIS),
+        )
+    ):
+        (i, res) = row
+        assert np.allclose(EXPECTED_NEG_DOT_PROD_DIS[i], res, atol=1e-10)
+
+
+def test_negative_cosine_distance(session: Session):
+    for row in session.execute(
+        select(Document.id, Document.embedding.negative_cosine_distance(OP_NEG_COS_DIS))
+    ):
+        (i, res) = row
+        assert np.allclose(EXPECTED_NEG_COS_DIS[i], res, atol=1e-10)
+
+
+# # =================================
+# # Suffix functional tests
+# # =================================
+
+
+def test_delete(session: Session):
+    session.execute(delete(Document).where(Document.embedding == VECTORS[0]))
+    session.commit()
+    res = session.execute(select(Document))
+    assert len(list(res)) == LEN_AFT_DEL
diff --git a/bindings/python/tox.ini b/bindings/python/tox.ini
new file mode 100644
index 0000000..2ea13b2
--- /dev/null
+++ b/bindings/python/tox.ini
@@ -0,0 +1,9 @@
+[tox]
+env_list = py3{10, 11}
+
+[testenv]
+deps = pdm
+commands =
+    pdm sync -d -G lint
+    pdm run -v check
+    pdm run -v test