Files
lancedb/docs
Taylor a065b4b9c6 feat(python): add NVIDIA Nemotron embedding provider
Adds a Python `nvidia` embedding provider for Nemotron 3.5 Embed 1B and 8B. It works with NVIDIA's hosted API and self-hosted NIM `/v1` endpoints, and uses the existing `openai` client. The OpenAI provider can't send NVIDIA's passage/query input types or pick Nemotron's dimensions.

- Documents are embedded as `passage`, searches as `query`.
- Default dimensions are 2048 (1B) and 4096 (8B), and `dim` is checked against each model's supported range. Self-hosted model IDs need an explicit `dim`.
- Response count, order, dimensions and values are checked. Null and empty text get a null vector without a request.
- Each request is retried on its own with LanceDB's retry policy. Invalid input or responses fail immediately.
- `NVIDIA_API_KEY` is only sent to the hosted API. Custom endpoints need an explicit `api_key` (a `$var:` reference), and endpoints restored from table metadata must be allowed with `allow_endpoint`.
- Request dimensions are sent through `extra_body`, preserving the NVIDIA wire contract while supporting the declared minimum `openai==1.6.1`.

Python and text only. Docs are in `integrations/embedding/nvidia`.

Originally authored by Taylor (@tsmithv11).

### Testing

- `test_nvidia_embeddings.py`: 45 passed, 2 deselected with both the locked `openai==2.44.0` and minimum `openai==1.6.1`. These use the real OpenAI client with mock HTTP transport and real local tables.
- Embedding, registry, field-metadata and trust suites: 163 passed, 4 skipped, 10 deselected.
- Historical live experiments: hosted 8B passed a five-request smoke test; hosted 1B returned HTTP 500. No live request was made in this stage, so current hosted 1B availability was not verified. Enterprise coverage uses the repository mock HTTP server, not a live deployment.
2026-10-29 18:10:50 +08:00
..

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