docs: move documentation links to lance-csr.hdclabs.ai

README.md

@@ -13,15 +13,15 @@
 [![PyPI version](https://img.shields.io/pypi/v/lance-csr?color=555)](https://pypi.org/project/lance-csr/)
 [![License: Apache 2.0](https://img.shields.io/badge/license-Apache%202.0-555)](LICENSE)
 
-[Documentation](https://lance-csr.pages.dev/) · [Examples](examples/README.md) ·
+[Documentation](https://lance-csr.hdclabs.ai/) · [Examples](examples/README.md) ·
 [Releases](https://github.com/hyperdimensionalcomputingai/lance-csr/releases) · [Contributing](CONTRIBUTING.md)
 
 lance-csr is a fast graph query engine over [Lance](https://lancedb.github.io/lance/) datasets, built in Rust on
 Apache DataFusion, with Python bindings. It is a fork of [lance-graph](https://github.com/lance-format/lance-graph)
 and a research test bed: it pushes the limits of CSR indexes and DataFusion on top of the Lance format, with the
 goal of making multi-hop path traversal fast.
 
-**Documentation:** Visit the [lance-csr documentation site](https://lance-csr.pages.dev/) for getting started,
+**Documentation:** Visit the [lance-csr documentation site](https://lance-csr.hdclabs.ai/) for getting started,
 Cypher guides, the CSR index, the Python API reference, and benchmarks.
 
 ## Goals
@@ -93,7 +93,7 @@ See [`python/README.md`](python/README.md) for details and usage.
 
 To use the engine from Rust, add the crate with `cargo add lance-csr` and see
 [`crates/lance-csr/README.md`](crates/lance-csr/README.md) and the
-[Rust guide](https://lance-csr.pages.dev/rust/).
+[Rust guide](https://lance-csr.hdclabs.ai/rust/).
 
 ## Build from source
 

crates/lance-csr-catalog/Cargo.toml

@@ -5,6 +5,7 @@ edition = "2021"
 license = "Apache-2.0"
 authors = ["The lance-csr Authors"]
 repository = "https://github.com/hyperdimensionalcomputingai/lance-csr"
+homepage = "https://lance-csr.hdclabs.ai/"
 readme = "README.md"
 description = "Catalog and namespace utilities for Lance graph"
 keywords = ["lance", "graph", "catalog", "namespace"]

crates/lance-csr/Cargo.toml

@@ -5,6 +5,7 @@ edition = "2021"
 license = "Apache-2.0"
 authors = ["The lance-csr Authors"]
 repository = "https://github.com/hyperdimensionalcomputingai/lance-csr"
+homepage = "https://lance-csr.hdclabs.ai/"
 readme = "README.md"
 description = "Graph query engine for Lance datasets with Cypher support"
 keywords = ["lance", "graph", "cypher", "query", "datafusion"]

crates/lance-csr/README.md

@@ -44,8 +44,8 @@ new write with `refresh()`:
 cargo run -p lance-csr --example embedded_query
 ```
 
-The [Rust guide](https://lance-csr.pages.dev/rust/) covers the API, and the rest of the
-[documentation](https://lance-csr.pages.dev/) covers the graph schema, supported Cypher and the CSR index.
+The [Rust guide](https://lance-csr.hdclabs.ai/rust/) covers the API, and the rest of the
+[documentation](https://lance-csr.hdclabs.ai/) covers the graph schema, supported Cypher and the CSR index.
 Building the crate needs `protoc` for Lance's dependencies.
 
 For one query over in-memory batches, `CypherQuery` works without an engine:
@@ -141,7 +141,7 @@ A builder (`CypherQueryBuilder`) is also available for constructing queries prog
 
 ## Supported Cypher
 
-See [Supported Cypher](https://lance-csr.pages.dev/cypher/#supported-cypher) in the documentation for the
+See [Supported Cypher](https://lance-csr.hdclabs.ai/cypher/#supported-cypher) in the documentation for the
 clauses, patterns, expressions and functions the engine runs.
 
 ## Crate Layout
@@ -204,7 +204,7 @@ cargo test -p lance-csr
 ## Benchmarks
 
 All published numbers were measured through the Python package; see the
-[benchmarks page](https://lance-csr.pages.dev/benchmarks/). Criterion micro-benchmarks live in the unpublished
+[benchmarks page](https://lance-csr.hdclabs.ai/benchmarks/). Criterion micro-benchmarks live in the unpublished
 `lance-csr-benches` crate.
 
 ## Python Bindings

docs/AGENTS.md

@@ -18,8 +18,9 @@ the internals; `rust.md` covers the same engine for Rust developers. The CSR ind
 - Preview with `uv run --project docs --locked zensical serve`; check with
   `uv run --project docs --locked zensical build --strict`, which CI runs on every pull request. Fix every
   warning.
-- Cloudflare Pages builds and hosts the site at https://lance-csr.pages.dev/ through its native GitHub
-  integration. Pushes to `main` automatically deploy when automatic production deployments are enabled.
+- Cloudflare Pages builds and hosts the site at https://lance-csr.hdclabs.ai/ (a custom domain on the
+  `lance-csr` Pages project) through its native GitHub integration. `site_url` in `zensical.toml` must match
+  it, because it sets the canonical and social-preview URLs. Pushes to `main` automatically deploy when automatic production deployments are enabled.
   Build from the repository root with the locked build command above and publish `site/`.
 - Files that aren't pages (this file, `check_snippets.py`, `sync_benchmarks.py`, the uv project, `overrides/`, the
   brand README and previews) are listed under `exclude_docs` in `zensical.toml`. Add new non-page files there.

python/pyproject.toml

@@ -28,6 +28,12 @@ classifiers = [
     "Topic :: Scientific/Engineering",
 ]
 
+[project.urls]
+Documentation = "https://lance-csr.hdclabs.ai/"
+Repository = "https://github.com/hyperdimensionalcomputingai/lance-csr"
+Issues = "https://github.com/hyperdimensionalcomputingai/lance-csr/issues"
+Releases = "https://github.com/hyperdimensionalcomputingai/lance-csr/releases"
+
 [tool.maturin]
 python-source = "python"
 module-name = "lance_csr._internal"

zensical.toml

@@ -1,6 +1,6 @@
 [project]
 site_name = "lance-csr"
-site_url = "https://lance-csr.pages.dev/"
+site_url = "https://lance-csr.hdclabs.ai/"
 site_description = "A fast, embedded Cypher graph query engine over Lance datasets, with a CSR adjacency index"
 site_author = "The lance-csr Authors"
 copyright = "Copyright © The lance-csr Authors. Apache 2.0 licensed."