diff --git a/.github/workflows/python-release.yml b/.github/workflows/python-release.yml
new file mode 100644
index 0000000..4c8be22
--- /dev/null
+++ b/.github/workflows/python-release.yml
@@ -0,0 +1,60 @@
+# 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.
+
+name: Python Release
+
+on:
+  release:
+    types:
+      - released
+  pull_request:
+    paths:
+      - .github/workflows/python-release.yml
+  workflow_dispatch:
+    inputs:
+      mode:
+        description: "dry_run: build & test only, release: build & publish to PyPI"
+        required: true
+        default: "dry_run"
+        type: choice
+        options:
+          - dry_run
+          - release
+
+jobs:
+  publish:
+    runs-on: ubuntu-latest
+    permissions:
+      id-token: write  # Required for PyPI trusted publishing
+      contents: read
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v4
+
+      - name: Set up Python
+        uses: actions/setup-python@v5
+        with:
+          python-version: '3.11'
+
+      - name: Install uv
+        uses: astral-sh/setup-uv@v4
+
+      - name: Build lance-ray
+        run: |
+          uv build
+
+      - name: Publish to PyPI
+        if: |
+          (github.event_name == 'release' && github.event.action == 'released') ||
+          (github.event_name == 'workflow_dispatch' && github.event.inputs.mode == 'release')
+        run: |
+          uv publish --trusted-publishing always
\ No newline at end of file
diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
new file mode 100644
index 0000000..2351890
--- /dev/null
+++ b/CONTRIBUTING.md
@@ -0,0 +1,76 @@
+# Contributing to Lance-Ray
+
+Thank you for your interest in contributing to Lance-Ray! 
+This document provides guidelines and instructions for contributing to the project.
+
+## Prerequisites
+
+- Python >= 3.10
+- UV package manager
+- Git
+
+## Setting Up Your Development Environment
+
+1. **Fork and clone the repository**
+
+```bash
+# Fork the repository on GitHub, then clone your fork
+git clone https://github.com/YOUR_USERNAME/lance-ray.git
+cd lance-ray
+```
+
+2. **Install UV** (if not already installed)
+
+```bash
+pip install uv
+```
+
+3. **Install the project in development mode**
+
+```bash
+# Install with all development dependencies
+uv pip install -e ".[dev]"
+
+# To work on documentation, also install docs dependencies
+uv pip install -e ".[dev,docs]"
+```
+
+## Running Tests
+
+Run the test suite to ensure everything is working:
+
+```bash
+# Run all tests
+uv run pytest
+
+# Run with coverage report
+uv run pytest --cov=lance_ray
+
+# Run specific test file
+uv run pytest tests/test_basic_read_write.py -vv
+```
+
+## Check Styles
+
+We use `ruff` for both linting and formatting:
+
+```bash
+# Format code
+uv run ruff format lance_ray/ tests/ examples/
+
+# Check linting
+uv run ruff check lance_ray/ tests/ examples/
+
+# Fix linting issues automatically
+uv run ruff check --fix lance_ray/ tests/ examples/
+```
+
+## Building Documentation Locally
+
+```bash
+# Serve documentation locally
+cd docs
+uv run mkdocs serve
+
+# Documentation will be available at http://localhost:8000
+```
diff --git a/README.md b/README.md
index 1954f2b..d29e9f8 100644
--- a/README.md
+++ b/README.md
@@ -1,339 +1,23 @@
-# Lance-Ray Integration
+# Lance-Ray
 
-A Python library that provides seamless integration between [Ray](https://ray.io/) and [Lance](https://lancedb.github.io/lance/) for distributed columnar data processing.
+[![PyPI](https://img.shields.io/pypi/v/lance-ray.svg)](https://pypi.org/project/lance-ray/)
+[![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)
+[![Documentation](https://img.shields.io/badge/docs-latest-brightgreen.svg)](https://lancedb.github.io/lance/integrations/ray)
 
-## Overview
+A Python library that provides seamless integration between 
+[Ray](https://ray.io/) and [Lance](https://lancedb.github.io/lance/) for distributed columnar data processing.
 
-Lance-Ray combines the distributed computing capabilities of Ray with the efficient columnar storage format of Lance, enabling scalable data processing workflows with optimal performance.
-
-## Features
-
-- **Distributed Lance Operations**: Leverage Ray's distributed computing for Lance dataset operations
-- **Seamless Data Conversion**: Easy conversion between Ray datasets and Lance datasets
-- **Optimized I/O**: Efficient reading and writing of Lance datasets with Ray integration
-- **Schema Validation**: Automatic schema compatibility checking between Ray and Lance
-- **Flexible Filtering**: Support for complex filtering operations on distributed Lance data
-- **Catalog Integration**: Support for working with Lance datasets stored in various catalog services (e.g. Hive MetaStore, Iceberg REST Catalog, Unity, Gravitino, AWS Glue, etc.)
-
-## Installation
-
-### Basic Installation
-```bash
-# Clone the repository
-git clone https://github.com/lancedb/lance-ray.git
-cd lance-ray
-
-# Install UV (if not already installed)
-pip install uv
-
-# Install in editable mode
-uv pip install -e .
-```
-
-### Development Installation (with all dependencies)
-```bash
-
-# Clone the repository
-git clone https://github.com/lancedb/lance-ray.git
-cd lance-ray
-
-# Install UV (if not already installed)
-pip install uv
-
-# Install with development dependencies
-uv pip install -e ".[dev]"
-```
-
-### Windows Specific Instructions
-```bash
-# If 'uv' command is still not recognized (especially on Windows),
-# try restarting your terminal or use:
-# Basic installation
-python -m uv pip install -e .
-
-# Development installation
-python -m uv pip install -e ".[dev]"
-
-```
-
-
-## Requirements
-
-- Python >= 3.10
-- Ray >= 2.40.0
-- PyLance >= 0.30.0
-- lance-namespace >=0.0.5
-- PyArrow >= 17.0.0
-- Pandas >= 2.2.0
-- NumPy >= 2.0.0
+- [Documentation](https://lancedb.github.io/lance-ray/)
+- [Contributing Guide and Dev Setup](./CONTRIBUTING.md)
 
 ## Quick Start
 
-```python
-import ray
-from lance_ray import read_lance, write_lance
-
-# Initialize Ray
-ray.init()
-
-# Create a Ray dataset
-data = ray.data.range(1000).map(lambda row: {"id": row["id"], "value": row["id"] * 2})
-
-# Write to Lance format
-write_lance(data, "my_dataset.lance")
-
-# Read Lance dataset back as Ray dataset
-ray_dataset = read_lance("my_dataset.lance")
 
-# Perform distributed operations
-result = ray_dataset.filter(lambda row: row["value"] > 100).count()
-print(f"Filtered count: {result}")
-```
 
-### Using Lance Namespace
 
-For enterprise environments with metadata catalogs, you can use Lance Namespace integration:
-
-```python
-import ray
-import lance_namespace as ln
-from lance_ray import read_lance, write_lance
-
-# Initialize Ray
-ray.init()
-
-# Connect to a metadata catalog (directory-based example)
-namespace = ln.connect("dir", {"root": "/path/to/tables"})
-
-# Create a Ray dataset
-data = ray.data.range(1000).map(lambda row: {"id": row["id"], "value": row["id"] * 2})
-
-# Write to Lance format using metadata catalog
-write_lance(data, namespace=namespace, table_id=["my_table"])
-
-# Read Lance dataset back using metadata catalog
-ray_dataset = read_lance(namespace=namespace, table_id=["my_table"])
-
-# Perform distributed operations
-result = ray_dataset.filter(lambda row: row["value"] > 100).count()
-print(f"Filtered count: {result}")
-```
 
 ## API Reference
 
 ### I/O Functions
 
-#### `read_lance(uri=None, *, namespace=None, table_id=None, columns=None, filter=None, storage_options=None, **kwargs)`
-
-Read a Lance dataset and return a Ray Dataset.
-
-**Parameters:**
-- `uri`: The URI of the Lance dataset to read from (either uri OR namespace+table_id required)
-- `namespace`: LanceNamespace instance for metadata catalog integration (requires table_id)
-- `table_id`: Table identifier as list of strings (requires namespace)
-- `columns`: Optional list of column names to read
-- `filter`: Optional filter expression to apply
-- `storage_options`: Optional storage configuration dictionary
-- `scanner_options`: Optional scanner configuration dictionary
-- `ray_remote_args`: Optional kwargs for Ray remote tasks
-- `concurrency`: Optional maximum number of concurrent Ray tasks
-- `override_num_blocks`: Optional override for number of output blocks
-
-**Returns:** Ray Dataset
-
-#### `write_lance(ds, uri=None, *, namespace=None, table_id=None, schema=None, mode="create", **kwargs)`
-
-Write a Ray Dataset to Lance format.
-
-**Parameters:**
-- `ds`: Ray Dataset to write
-- `uri`: Path to the destination Lance dataset (either uri OR namespace+table_id required)
-- `namespace`: LanceNamespace instance for metadata catalog integration (requires table_id)
-- `table_id`: Table identifier as list of strings (requires namespace)
-- `schema`: Optional PyArrow schema
-- `mode`: Write mode - "create", "append", or "overwrite"
-- `min_rows_per_file`: Minimum rows per file (default: 1024 * 1024)
-- `max_rows_per_file`: Maximum rows per file (default: 64 * 1024 * 1024)
-- `data_storage_version`: Optional data storage version
-- `storage_options`: Optional storage configuration dictionary
-- `ray_remote_args`: Optional kwargs for Ray remote tasks
-- `concurrency`: Optional maximum number of concurrent Ray tasks
-
-**Returns:** None
-
-#### `add_columns(uri=None, *, namespace=None, table_id=None, transform, **kwargs)`
-
-Add columns to an existing Lance dataset using Ray's distributed processing.
-
-**Parameters:**
-- `uri`: Path to the Lance dataset (either uri OR namespace+table_id required)
-- `namespace`: LanceNamespace instance for metadata catalog integration (requires table_id)
-- `table_id`: Table identifier as list of strings (requires namespace)
-- `transform`: Transform function to apply for adding columns
-- `filter`: Optional filter expression to apply
-- `read_columns`: Optional list of columns to read from original dataset
-- `reader_schema`: Optional schema for the reader
-- `read_version`: Optional version to read
-- `ray_remote_args`: Optional kwargs for Ray remote tasks
-- `storage_options`: Optional storage configuration dictionary
-- `batch_size`: Batch size for processing (default: 1024)
-- `concurrency`: Optional number of concurrent processes
-
-**Returns:** None
-
-## Examples
-
-### Basic Usage
-
-```python
-import pandas as pd
-import ray
-from lance_ray import read_lance, write_lance
-
-# Initialize Ray
-ray.init()
-
-# Create sample data
-sample_data = {
-    "user_id": range(100),
-    "name": [f"User_{i}" for i in range(100)],
-    "age": [20 + (i % 50) for i in range(100)],
-    "score": [50.0 + (i % 100) * 0.5 for i in range(100)],
-}
-df = pd.DataFrame(sample_data)
-
-# Create Ray dataset
-ds = ray.data.from_pandas(df)
-
-# Write to Lance format
-write_lance(ds, "sample_dataset.lance")
-
-# Read Lance dataset back
-ds = read_lance("sample_dataset.lance")
-
-# Perform distributed operations
-filtered_ds = ds.filter(lambda row: row["age"] > 30)
-print(f"Filtered count: {filtered_ds.count()}")
-
-# Read with column selection and filtering
-ds_filtered = read_lance(
-    "sample_dataset.lance",
-    columns=["user_id", "name", "score"],
-    filter="score > 75.0"
-)
-print(f"Schema: {ds_filtered.schema()}")
-```
-
-### Advanced Usage
-
-```python
-# Write with custom options
-write_lance(
-    ds,
-    "dataset.lance",
-    mode="overwrite",
-    min_rows_per_file=1000,
-    max_rows_per_file=50000,
-    data_storage_version="stable"
-)
-
-# Read with storage options and concurrency control
-ds = read_lance(
-    "s3://bucket/dataset.lance",
-    storage_options={"aws_access_key_id": "...", "aws_secret_access_key": "..."},
-    concurrency=10,
-    ray_remote_args={"num_cpus": 2}
-)
-
-# Using different metadata catalog backends
-import lance_namespace as ln
-
-# Directory-based namespace (for local development)
-dir_namespace = ln.connect("dir", {"root": "/local/tables"})
-
-# REST API-based namespace (for enterprise catalogs like Unity, Gravitino)
-rest_namespace = ln.connect("rest", {
-    "base_url": "https://catalog-api.example.com",
-    "api_key": "your-api-key"
-})
-
-# Write using metadata catalog
-write_lance(ds, namespace=dir_namespace, table_id=["processed_data"], mode="overwrite")
-
-# Read using metadata catalog
-ds = read_lance(namespace=dir_namespace, table_id=["processed_data"])
-
-# Add columns using metadata catalog
-from lance_ray import add_columns
-import pyarrow as pa
-
-def add_computed_column(batch: pa.RecordBatch) -> pa.RecordBatch:
-    df = batch.to_pandas()
-    df['computed'] = df['value'] * 2 + df['id']
-    return pa.RecordBatch.from_pandas(df[["computed"]])
-
-add_columns(
-    namespace=dir_namespace,
-    table_id=["processed_data"],
-    transform=add_computed_column,
-    concurrency=4
-)
-```
-
-See the `examples/` directory for more comprehensive usage examples:
-
-- `basic_usage.py`: Basic Ray-Lance integration workflow
-
-## Development
-
-### Setup Development Environment
-
-```bash
-# Clone the repository
-git clone https://github.com/lance-ray/lance-ray.git
-cd lance-ray
-
-# Install in development mode
-uv pip install -e ".[dev]"
-
-```
-
-### Running Tests
-
-```bash
-# Run all tests
-uv run pytest
-
-# Run with coverage
-uv run pytest --cov=lance_ray
-
-
-### Code Quality
-
-```bash
-# Format code
-uv run ruff format lance_ray/ tests/ examples/
-
-# Lint code
-uv run ruff check lance_ray/ tests/ examples/
-
-```
-
-## Contributing
-
-1. Fork the repository
-2. Create a feature branch (`git checkout -b feature-name`)
-3. Make your changes
-4. Add tests for new functionality
-5. Run the test suite and ensure all tests pass
-6. Submit a pull request
-
-## License
-
-This project is licensed under the Apache License 2.0 - see the [LICENSE](LICENSE) file for details.
-
-## Acknowledgments
 
-- [Ray](https://ray.io/) for distributed computing framework
-- [Lance](https://lancedb.github.io/lance/) for columnar storage format
-- [Apache Arrow](https://arrow.apache.org/) for in-memory data structures
diff --git a/docs/README.md b/docs/README.md
new file mode 100644
index 0000000..1e56d4d
--- /dev/null
+++ b/docs/README.md
@@ -0,0 +1,56 @@
+# Lance-Ray Documentation
+
+This directory contains the documentation for Lance-Ray, built with MkDocs.
+
+## Building Documentation
+
+### Prerequisites
+
+Install uv and the documentation dependencies:
+
+```bash
+# From the project root
+uv pip install -e ".[docs]"
+```
+
+### Local Development
+
+To serve the documentation locally with hot-reload:
+
+```bash
+cd docs
+uv run mkdocs serve
+```
+
+The documentation will be available at http://localhost:8000
+
+### Building Static Files
+
+To build the static documentation:
+
+```bash
+cd docs
+uv run mkdocs build
+```
+
+The built documentation will be in the `site/` directory.
+
+## Documentation Structure
+
+- `mkdocs.yml` - MkDocs configuration
+- `src/` - Documentation source files in Markdown
+  - `index.md` - Homepage
+  - `read.md` - Read operations guide
+  - `write.md` - Write operations guide  
+  - `examples.md` - Usage examples
+  - `.pages` - Navigation configuration
+
+## Adding New Pages
+
+1. Create a new `.md` file in `src/`
+2. Update `src/.pages` to add it to navigation
+3. Follow the existing documentation style
+
+## Deployment
+
+Documentation is automatically deployed to GitHub Pages when changes are pushed to the main branch.
\ No newline at end of file
diff --git a/docs/mkdocs.yml b/docs/mkdocs.yml
new file mode 100644
index 0000000..826a31a
--- /dev/null
+++ b/docs/mkdocs.yml
@@ -0,0 +1,64 @@
+site_name: Lance-Ray Integration
+site_description: A Python library that provides seamless integration between Ray and Lance for distributed columnar data processing.
+site_url: https://lancedb.github.io/lance-ray/
+docs_dir: src
+
+repo_name: lancedb/lance-ray
+repo_url: https://github.com/lancedb/lance-ray
+
+theme:
+  name: material
+  palette:
+    - scheme: default
+      primary: indigo
+      accent: indigo
+      toggle:
+        icon: material/brightness-7
+        name: Switch to dark mode
+    - scheme: slate
+      primary: indigo
+      accent: indigo
+      toggle:
+        icon: material/brightness-4
+        name: Switch to light mode
+  features:
+    - navigation.sections
+    - navigation.expand
+    - navigation.top
+    - search.highlight
+    - search.share
+    - content.code.copy
+    - content.code.annotate
+  icon:
+    repo: fontawesome/brands/github
+
+markdown_extensions:
+  - admonition
+  - pymdownx.details
+  - pymdownx.superfences
+  - pymdownx.highlight:
+      anchor_linenums: true
+      line_spans: __span
+      pygments_lang_class: true
+  - pymdownx.inlinehilite
+  - pymdownx.snippets
+  - pymdownx.tabbed:
+      alternate_style: true
+  - attr_list
+  - md_in_html
+  - tables
+  - toc:
+      permalink: true
+
+plugins:
+  - search
+  - awesome-pages
+
+extra:
+  social:
+    - icon: fontawesome/brands/github
+      link: https://github.com/lancedb/lance-ray
+    - icon: fontawesome/brands/discord
+      link: https://discord.gg/zMM32dvNtd
+    - icon: fontawesome/brands/twitter
+      link: https://twitter.com/lancedb
\ No newline at end of file
diff --git a/docs/src/.pages b/docs/src/.pages
new file mode 100644
index 0000000..b1b8b41
--- /dev/null
+++ b/docs/src/.pages
@@ -0,0 +1,6 @@
+nav:
+  - Welcome: index.md
+  - Read: read.md
+  - Write: write.md
+  - Data Evolution: data-evolution.md
+  - Examples: examples.md
\ No newline at end of file
diff --git a/docs/src/data-evolution.md b/docs/src/data-evolution.md
new file mode 100644
index 0000000..25102c9
--- /dev/null
+++ b/docs/src/data-evolution.md
@@ -0,0 +1,32 @@
+# Data Evolution
+
+## `add_columns`
+
+```python
+add_columns(
+    uri=None, 
+    *, 
+    namespace=None, 
+    table_id=None, 
+    transform, 
+    **kwargs)
+```
+
+Add columns to an existing Lance dataset using Ray's distributed processing.
+
+**Parameters:**
+
+- `uri`: Path to the Lance dataset (either uri OR namespace+table_id required)
+- `namespace`: LanceNamespace instance for metadata catalog integration (requires table_id)
+- `table_id`: Table identifier as list of strings (requires namespace)
+- `transform`: Transform function to apply for adding columns
+- `filter`: Optional filter expression to apply
+- `read_columns`: Optional list of columns to read from original dataset
+- `reader_schema`: Optional schema for the reader
+- `read_version`: Optional version to read
+- `ray_remote_args`: Optional kwargs for Ray remote tasks
+- `storage_options`: Optional storage configuration dictionary
+- `batch_size`: Batch size for processing (default: 1024)
+- `concurrency`: Optional number of concurrent processes
+
+**Returns:** None
diff --git a/docs/src/examples.md b/docs/src/examples.md
new file mode 100644
index 0000000..0b1094a
--- /dev/null
+++ b/docs/src/examples.md
@@ -0,0 +1,93 @@
+# Examples
+
+Here are some examples to try out.
+See the `examples/` directory for more comprehensive usage examples.
+
+## Basic Read & Write
+
+```python
+import pandas as pd
+import ray
+from lance_ray import read_lance, write_lance
+
+# Initialize Ray
+ray.init()
+
+# Create sample data
+sample_data = {
+    "user_id": range(100),
+    "name": [f"User_{i}" for i in range(100)],
+    "age": [20 + (i % 50) for i in range(100)],
+    "score": [50.0 + (i % 100) * 0.5 for i in range(100)],
+}
+df = pd.DataFrame(sample_data)
+
+# Create Ray dataset
+ds = ray.data.from_pandas(df)
+
+# Write to Lance format
+write_lance(ds, "sample_dataset.lance")
+
+# Read Lance dataset back
+ds = read_lance("sample_dataset.lance")
+
+# Perform distributed operations
+filtered_ds = ds.filter(lambda row: row["age"] > 30)
+print(f"Filtered count: {filtered_ds.count()}")
+
+# Read with column selection and filtering
+ds_filtered = read_lance(
+    "sample_dataset.lance",
+    columns=["user_id", "name", "score"],
+    filter="score > 75.0"
+)
+print(f"Schema: {ds_filtered.schema()}")
+```
+
+## Data Evolution
+
+```python
+# Add columns using metadata catalog
+from lance_ray import add_columns
+import pyarrow as pa
+
+def add_computed_column(batch: pa.RecordBatch) -> pa.RecordBatch:
+    df = batch.to_pandas()
+    df['computed'] = df['value'] * 2 + df['id']
+    return pa.RecordBatch.from_pandas(df[["computed"]])
+
+add_columns(
+    uri="sample_dataset.lance",
+    transform=add_computed_column,
+    concurrency=4
+)
+```
+
+## Using Namespace
+
+For enterprise environments with metadata catalogs, you can use Lance Namespace integration:
+
+```python
+import ray
+import lance_namespace as ln
+from lance_ray import read_lance, write_lance
+
+# Initialize Ray
+ray.init()
+
+# Connect to a metadata catalog (directory-based example)
+namespace = ln.connect("dir", {"root": "/path/to/tables"})
+
+# Create a Ray dataset
+data = ray.data.range(1000).map(lambda row: {"id": row["id"], "value": row["id"] * 2})
+
+# Write to Lance format using metadata catalog
+write_lance(data, namespace=namespace, table_id=["my_table"])
+
+# Read Lance dataset back using metadata catalog
+ray_dataset = read_lance(namespace=namespace, table_id=["my_table"])
+
+# Perform distributed operations
+result = ray_dataset.filter(lambda row: row["value"] > 100).count()
+print(f"Filtered count: {result}")
+```
\ No newline at end of file
diff --git a/docs/src/index.md b/docs/src/index.md
new file mode 100644
index 0000000..ee0cf0b
--- /dev/null
+++ b/docs/src/index.md
@@ -0,0 +1,47 @@
+# Lance-Ray Integration
+
+Welcome to the Lance-Ray documentation! 
+Lance-Ray combines the distributed computing capabilities of [Ray](https://ray.io/) 
+with the efficient Lance storage format, 
+enabling scalable data processing workflows with optimal performance.
+
+## Features
+
+- **Distributed Lance Operations**: Leverage Ray's distributed computing for Lance dataset operations
+- **Seamless Data Conversion**: Easy conversion between Ray datasets and Lance datasets
+- **Optimized I/O**: Efficient reading and writing of Lance datasets with Ray integration
+- **Schema Validation**: Automatic schema compatibility checking between Ray and Lance
+- **Flexible Filtering**: Support for complex filtering pushdown on distributed Lance data
+- **Data Evolution**: Support for data evolution to add new columns and distributedly backfill data using a Ray UDF
+- **Catalog Integration**: Support for working with Lance datasets stored in various catalog services (e.g. Hive MetaStore, Iceberg REST Catalog, Unity, Gravitino, AWS Glue, etc.)
+
+## Quickstart
+
+### Installation
+
+```shell
+pip install lance-ray
+```
+
+### Simple Example
+
+```python
+import ray
+from lance_ray import read_lance, write_lance
+
+# Initialize Ray
+ray.init()
+
+# Create a Ray dataset
+data = ray.data.range(1000).map(lambda row: {"id": row["id"], "value": row["id"] * 2})
+
+# Write to Lance format
+write_lance(data, "my_dataset.lance")
+
+# Read Lance dataset back as Ray dataset
+ray_dataset = read_lance("my_dataset.lance")
+
+# Perform distributed operations
+result = ray_dataset.filter(lambda row: row["value"] > 100).count()
+print(f"Filtered count: {result}")
+```
\ No newline at end of file
diff --git a/docs/src/read.md b/docs/src/read.md
new file mode 100644
index 0000000..f540e9b
--- /dev/null
+++ b/docs/src/read.md
@@ -0,0 +1,34 @@
+# Reading Lance Datasets
+
+## `read_lance`
+
+```python
+read_lance(
+    uri=None, 
+    *, 
+    namespace=None, 
+    table_id=None, 
+    columns=None, 
+    filter=None, 
+    storage_options=None, 
+    **kwargs)
+```
+
+Read a Lance dataset and return a Ray Dataset.
+
+**Parameters:**
+
+- `uri`: The URI of the Lance dataset to read from (either uri OR namespace+table_id required)
+- `namespace`: LanceNamespace instance for metadata catalog integration (requires table_id)
+- `table_id`: Table identifier as list of strings (requires namespace)
+- `columns`: Optional list of column names to read
+- `filter`: Optional filter expression to apply
+- `storage_options`: Optional storage configuration dictionary
+- `scanner_options`: Optional scanner configuration dictionary
+- `ray_remote_args`: Optional kwargs for Ray remote tasks
+- `concurrency`: Optional maximum number of concurrent Ray tasks
+- `override_num_blocks`: Optional override for number of output blocks
+
+**Returns:** Ray Dataset
+
+
diff --git a/docs/src/write.md b/docs/src/write.md
new file mode 100644
index 0000000..95d887e
--- /dev/null
+++ b/docs/src/write.md
@@ -0,0 +1,34 @@
+# Writing to Lance Dataset
+
+## `write_lance`
+
+```python
+write_lance(
+    ds, 
+    uri=None, 
+    *, 
+    namespace=None, 
+    table_id=None, 
+    schema=None, 
+    mode="create", 
+    **kwargs)
+```
+
+Write a Ray Dataset to Lance format.
+
+**Parameters:**
+
+- `ds`: Ray Dataset to write
+- `uri`: Path to the destination Lance dataset (either uri OR namespace+table_id required)
+- `namespace`: LanceNamespace instance for metadata catalog integration (requires table_id)
+- `table_id`: Table identifier as list of strings (requires namespace)
+- `schema`: Optional PyArrow schema
+- `mode`: Write mode - "create", "append", or "overwrite"
+- `min_rows_per_file`: Minimum rows per file (default: 1024 * 1024)
+- `max_rows_per_file`: Maximum rows per file (default: 64 * 1024 * 1024)
+- `data_storage_version`: Optional data storage version
+- `storage_options`: Optional storage configuration dictionary
+- `ray_remote_args`: Optional kwargs for Ray remote tasks
+- `concurrency`: Optional maximum number of concurrent Ray tasks
+
+**Returns:** None
diff --git a/pyproject.toml b/pyproject.toml
index b1e0921..a4d960e 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -5,13 +5,11 @@ build-backend = "setuptools.build_meta"
 [project]
 name = "lance-ray"
 version = "0.0.1"
-description = "Ray integration for Lance columnar format"
+description = "Ray integration for Lance"
 readme = "README.md"
 requires-python = ">=3.10"
 license = {file = "LICENSE"}
-authors = [
-    {name = "Lance Ray Team", email = "team@lance-ray.dev"},
-]
+authors = [{ name = "LanceDB Devs", email = "dev@lancedb.com" }]
 keywords = ["ray", "lance", "distributed", "columnar", "data"]
 classifiers = [
     "Development Status :: 3 - Alpha",
@@ -27,7 +25,7 @@ classifiers = [
 dependencies = [
     "ray[default]>=2.40.0",
     "pylance>=0.30.0",
-    "lance-namespace>=0.0.5",
+    "lance-namespace>=0.0.6",
     "pyarrow>=17.0.0",
     "pandas>=2.2.0",
     "numpy>=2.0.0",
@@ -41,6 +39,11 @@ dev = [
     "pytest-xdist>=3.6.0",
     "ruff>=0.8.0",
 ]
+docs = [
+    "mkdocs>=1.5.0",
+    "mkdocs-material>=9.0.0",
+    "mkdocs-awesome-pages-plugin>=2.9.0",
+]
 
 [project.urls]
 Homepage = "https://github.com/lancedb/lance-ray"
diff --git a/uv.lock b/uv.lock
index 516640d..fa1d61f 100644
--- a/uv.lock
+++ b/uv.lock
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 ]
 
+[[package]]
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+version = "2.17.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/7d/6b/d52e42361e1aa00709585ecc30b3f9684b3ab62530771402248b1b1d6240/babel-2.17.0.tar.gz", hash = "sha256:0c54cffb19f690cdcc52a3b50bcbf71e07a808d1c80d549f2459b9d2cf0afb9d", size = 9951852, upload-time = "2025-02-01T15:17:41.026Z" }
+wheels = [
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+]
+
+[[package]]
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+version = "5.9"
+source = { registry = "https://pypi.org/simple" }
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+wheels = [
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+    { url = "https://files.pythonhosted.org/packages/55/07/f0b3375bf0d06014e9787797e6b7cc02b38ac9ff9726ccfe834d94e9991e/backrefs-5.9-py311-none-any.whl", hash = "sha256:6907635edebbe9b2dc3de3a2befff44d74f30a4562adbb8b36f21252ea19c5cf", size = 392072, upload-time = "2025-06-22T19:34:06.743Z" },
+    { url = "https://files.pythonhosted.org/packages/9d/12/4f345407259dd60a0997107758ba3f221cf89a9b5a0f8ed5b961aef97253/backrefs-5.9-py312-none-any.whl", hash = "sha256:7fdf9771f63e6028d7fee7e0c497c81abda597ea45d6b8f89e8ad76994f5befa", size = 397947, upload-time = "2025-06-22T19:34:08.172Z" },
+    { url = "https://files.pythonhosted.org/packages/10/bf/fa31834dc27a7f05e5290eae47c82690edc3a7b37d58f7fb35a1bdbf355b/backrefs-5.9-py313-none-any.whl", hash = "sha256:cc37b19fa219e93ff825ed1fed8879e47b4d89aa7a1884860e2db64ccd7c676b", size = 399843, upload-time = "2025-06-22T19:34:09.68Z" },
+    { url = "https://files.pythonhosted.org/packages/fc/24/b29af34b2c9c41645a9f4ff117bae860291780d73880f449e0b5d948c070/backrefs-5.9-py314-none-any.whl", hash = "sha256:df5e169836cc8acb5e440ebae9aad4bf9d15e226d3bad049cf3f6a5c20cc8dc9", size = 411762, upload-time = "2025-06-22T19:34:11.037Z" },
+    { url = "https://files.pythonhosted.org/packages/41/ff/392bff89415399a979be4a65357a41d92729ae8580a66073d8ec8d810f98/backrefs-5.9-py39-none-any.whl", hash = "sha256:f48ee18f6252b8f5777a22a00a09a85de0ca931658f1dd96d4406a34f3748c60", size = 380265, upload-time = "2025-06-22T19:34:12.405Z" },
+]
+
+[[package]]
+name = "bracex"
+version = "2.6"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/63/9a/fec38644694abfaaeca2798b58e276a8e61de49e2e37494ace423395febc/bracex-2.6.tar.gz", hash = "sha256:98f1347cd77e22ee8d967a30ad4e310b233f7754dbf31ff3fceb76145ba47dc7", size = 26642, upload-time = "2025-06-22T19:12:31.254Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/9d/2a/9186535ce58db529927f6cf5990a849aa9e052eea3e2cfefe20b9e1802da/bracex-2.6-py3-none-any.whl", hash = "sha256:0b0049264e7340b3ec782b5cb99beb325f36c3782a32e36e876452fd49a09952", size = 11508, upload-time = "2025-06-22T19:12:29.781Z" },
+]
+
 [[package]]
 name = "cachetools"
 version = "5.5.2"
@@ -468,6 +500,18 @@ wheels = [
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 ]
 
+[[package]]
+name = "ghp-import"
+version = "2.1.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "python-dateutil" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/d9/29/d40217cbe2f6b1359e00c6c307bb3fc876ba74068cbab3dde77f03ca0dc4/ghp-import-2.1.0.tar.gz", hash = "sha256:9c535c4c61193c2df8871222567d7fd7e5014d835f97dc7b7439069e2413d343", size = 10943, upload-time = "2022-05-02T15:47:16.11Z" }
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+    { url = "https://files.pythonhosted.org/packages/f7/ec/67fbef5d497f86283db54c22eec6f6140243aae73265799baaaa19cd17fb/ghp_import-2.1.0-py3-none-any.whl", hash = "sha256:8337dd7b50877f163d4c0289bc1f1c7f127550241988d568c1db512c4324a619", size = 11034, upload-time = "2022-05-02T15:47:14.552Z" },
+]
+
 [[package]]
 name = "google-api-core"
 version = "2.25.1"
@@ -588,6 +632,18 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/2c/e1/e6716421ea10d38022b952c159d5161ca1193197fb744506875fbb87ea7b/iniconfig-2.1.0-py3-none-any.whl", hash = "sha256:9deba5723312380e77435581c6bf4935c94cbfab9b1ed33ef8d238ea168eb760", size = 6050, upload-time = "2025-03-19T20:10:01.071Z" },
 ]
 
+[[package]]
+name = "jinja2"
+version = "3.1.6"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "markupsafe" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/df/bf/f7da0350254c0ed7c72f3e33cef02e048281fec7ecec5f032d4aac52226b/jinja2-3.1.6.tar.gz", hash = "sha256:0137fb05990d35f1275a587e9aee6d56da821fc83491a0fb838183be43f66d6d", size = 245115, upload-time = "2025-03-05T20:05:02.478Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/62/a1/3d680cbfd5f4b8f15abc1d571870c5fc3e594bb582bc3b64ea099db13e56/jinja2-3.1.6-py3-none-any.whl", hash = "sha256:85ece4451f492d0c13c5dd7c13a64681a86afae63a5f347908daf103ce6d2f67", size = 134899, upload-time = "2025-03-05T20:05:00.369Z" },
+]
+
 [[package]]
 name = "jsonschema"
 version = "4.24.0"
@@ -617,18 +673,17 @@ wheels = [
 
 [[package]]
 name = "lance-namespace"
-version = "0.0.5"
+version = "0.0.6"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "lance-namespace-urllib3-client" },
-    { name = "opendal" },
     { name = "pyarrow" },
     { name = "pylance" },
     { name = "typing-extensions" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/78/a6/f4b24bd497e31dc43422fc16f69a48e871655a3f5b0654e7aceb577899d4/lance_namespace-0.0.5.tar.gz", hash = "sha256:aa6357cd1f380b319e4dcd3de0343baeb3b9ddf67b5c5394542a7c1dd694ba30", size = 11891, upload-time = "2025-08-01T05:23:34.084Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/55/07/5e809f1053a53bdbe0a8f461a710bbf7e1b3119e1432a60b46b648d51ba3/lance_namespace-0.0.6.tar.gz", hash = "sha256:3eeeba5f6bb8d01504cda33d86e6c22bd9cefb1f6f3aac1f963d46a9ff09b9a0", size = 11973, upload-time = "2025-08-20T19:28:03.213Z" }
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 ]
 
 [[package]]
@@ -668,10 +723,18 @@ dev = [
     { name = "pytest-xdist" },
     { name = "ruff" },
 ]
+docs = [
+    { name = "mkdocs" },
+    { name = "mkdocs-awesome-pages-plugin" },
+    { name = "mkdocs-material" },
+]
 
 [package.metadata]
 requires-dist = [
-    { name = "lance-namespace", specifier = ">=0.0.5" },
+    { name = "lance-namespace", specifier = ">=0.0.6" },
+    { name = "mkdocs", marker = "extra == 'docs'", specifier = ">=1.5.0" },
+    { name = "mkdocs-awesome-pages-plugin", marker = "extra == 'docs'", specifier = ">=2.9.0" },
+    { name = "mkdocs-material", marker = "extra == 'docs'", specifier = ">=9.0.0" },
     { name = "numpy", specifier = ">=2.0.0" },
     { name = "pandas", specifier = ">=2.2.0" },
     { name = "pyarrow", specifier = ">=17.0.0" },
@@ -683,7 +746,167 @@ requires-dist = [
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     { name = "ruff", marker = "extra == 'dev'", specifier = ">=0.8.0" },
 ]
-provides-extras = ["dev"]
+provides-extras = ["dev", "docs"]
+
+[[package]]
+name = "markdown"
+version = "3.8.2"
+source = { registry = "https://pypi.org/simple" }
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