PELinker is a bio / science property–entity linker: encoder-based mention vectors, fused property clusters, and a small HTTP API for linking text to KB entities. This site hosts user-oriented notes and the Python API reference.
The current package version is defined in pyproject.toml (see the [project] version field). Release artifacts are the pelinker wheel/sdist and the documented CLIs below.
pelinker-fit, pelinker-serves, pelinker-link-files, and how they connect to scripts under run/ (including OOV / anomaly analysis).texts_to_vrep turns text and transformer layers into pooled embeddings for sliding token windows.pelinker).run/README.md on GitHub.Build the docs locally (from the repository root, with optional dependencies installed):
uv sync --extra docs
uv run mkdocs serve
Run the test suite with the same environment:
uv run pytest test