Files
lancedb/docs
Jack Ye 784d649380 feat: support Hugging Face storage integrations with optional token Secrets (#4775)
Adds `HUGGINGFACE` and an optional token Secret reference to the
existing storage integration methods. The same SQL transport handles
create, describe, list and drop. Only a Secret reference is stored in
integration metadata; mixed-provider credential options are rejected.

```python
from lancedb.storage_integration import SecretReference

info = db.create_storage_integration(
    "private_hub", "hf://datasets/acme/private/raw/",
    storage_provider="HUGGINGFACE",
    huggingface_token_secret=SecretReference(
        "hf_token", database="shared", namespace_path=("credentials",),
    ),
)
print(info.configuration_instructions)
info = db.describe_storage_integration("private_hub")
names = list(db.list_storage_integrations())
db.drop_storage_integration("private_hub")
```

Omit the token Secret for anonymous access at Hugging Face's default
anonymous
rate limits. A tokenless integration does not use a cluster's Hugging
Face token:

```python
info = db.create_storage_integration(
    "public_hub", "hf://datasets/acme/public/raw/",
    storage_provider="HUGGINGFACE",
)
```

```sql
CREATE STORAGE INTEGRATION public_hub
    STORAGE_PROVIDER = 'HUGGINGFACE'
    STORAGE_PREFIX = 'hf://datasets/acme/public/raw/';
```


```sql
CREATE STORAGE INTEGRATION private_hub
    STORAGE_PROVIDER = 'HUGGINGFACE'
    STORAGE_PREFIX = 'hf://datasets/acme/private/raw/'
    HUGGINGFACE_TOKEN_SECRET = shared.credentials.hf_token;
DESCRIBE STORAGE INTEGRATION private_hub;
SHOW STORAGE INTEGRATIONS;
SELECT * FROM 'hf://datasets/acme/private/raw/*.parquet' LIMIT 10;
DROP STORAGE INTEGRATION private_hub;
```

```mermaid
flowchart LR
    Python[Sync or async Python] --> SQL[Existing SQL transport]
    SQL --> Metadata[Integration and token Secret reference]
```

Adds Rust request construction, SQL rendering, typed metadata decoding,
sync/async Flight SQL regressions and public documentation. Local
builds/tests are excluded by request; CI provides execution validation.
2026-10-31 01:56:42 -07:00
..

LanceDB Documentation

For website guides in docs/web, start with Documentation in CONTRIBUTING.md. That covers editing pages, generated examples, previews, availability and drafts.

This page covers the SDK reference in docs/src, built with MkDocs. Its GitHub Actions workflow builds and deploys on pushes to main, so it can include unreleased APIs. That is separate from the release editions of the Mintlify website.

Building the docs

Setup

  1. Install LanceDB Python. See setup in Python contributing guide. Run make develop to install the Python package.
  2. Install documentation dependencies. From LanceDB repo root: pip install -r docs/requirements.txt

Preview the docs

Run these commands from the LanceDB repository root. The subshell changes into docs to load mkdocs.yml, while leaving your shell in the repository root.

(cd docs && PYTHONPATH=. mkdocs serve)

If you want to just generate the HTML files:

(cd docs && PYTHONPATH=. mkdocs build)

If successful, you should see a docs/site directory in the repository root that you can verify locally.

Adding examples

To make sure examples are correct, we put examples in test files so they can be run as part of our test suites.

You can see the tests are at:

  • Python: python/python/tests/docs
  • Typescript: nodejs/examples/

Checking python examples

cd python
pytest -vv python/tests/docs

Checking typescript examples

The examples depend on @lancedb/lancedb at file:../dist, so the package must be built before running the tests. This uses pnpm; see the Typescript contributing guide for the toolchain setup.

pushd nodejs
pnpm install
pnpm build
popd

Then you can run the examples by going to the nodejs/examples directory, which is a separate pnpm package with its own lockfile:

pushd nodejs/examples
pnpm install
pnpm test
popd

API documentation

Python

The Python API documentation is organized based on the file docs/src/python/python.md. We manually add entries there so we can control the organization of the reference page. However, this means any new types must be manually added to the file. No additional steps are needed to generate the API documentation.

Typescript

The typescript API documentation is generated from the typescript source code using typedoc.

When new APIs are added, you must manually re-run the typedoc command to update the API documentation. The new files should be checked into the repository.

pushd nodejs
# `pnpm docs` would invoke pnpm's built-in `docs` command, not the script.
pnpm run docs
popd