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wikipedia2vec

wikipedia2vec/wikipedia2vec

A tool for learning vector representations of words and entities from Wikipedia

GitHub Website

GraphCanon updated 3d · GitHub synced 3d

971 stars100 forksLast push 2y Python Other

Decision brief

A Python-based tool for generating embeddings derived from Wikipedia content.

Good fit when

You need to generate word and entity embeddings based on extensive Wikipedia data
Your project focuses specifically on leveraging Wikipedia's breadth of knowledge in NLP tasks

Avoid when

Your dataset doesn't intersect with or benefit from Wikipedia content
You require real-time updating capabilities that exceed static Wikipedia dumps

Observed Jul 12, 2026 · Source: enrich:decision_facts

wikipedia2vec alternatives Trust report

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Maintenance and security

Full trust report

Maintenance: Dormant (840d since push); As of 3d
Provenance: Not a fork · Organization account; As of 3d
Security (OSV): No lockfile; As of 1mo

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install wikipedia2vec

PyPI

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

wikipedia2vec is a Python-based tool designed to generate embeddings for words and entities derived from Wikipedia content, aiding in natural language processing tasks like text classification.

Capability facts

Languages: python
Source: github.language+pyproject.toml · Aug 22, 2026

README

License

Apache License 2.0

For agents

This page has a .md twin and JSON over the API.

/tools/wikipedia2vec-wikipedia2vec.md GET /api/graphcanon/tools/wikipedia2vec-wikipedia2vec GET /api/graphcanon/graph?tool=wikipedia2vec-wikipedia2vec