wikidata-vector-search
CommunitySemantically search Wikidata with vector embeddings, find items and properties by meaning.
Authorfuzheado
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill allows users to perform semantic searches on Wikidata, finding items and properties by meaning, concept, or natural language description, rather than by exact label or identifier.
Core Features & Use Cases
- Semantic Search: Query Wikidata by meaning, concept, or natural language description.
- Vector Embeddings: Utilizes semantic embeddings to find items and properties via vector similarity.
- Use Case: For example, you can find all entities related to "maritime exploration in the 1600s" without knowing the exact QID or label.
Quick Start
Search for "maritime exploration in the 1600s" using the wikidata-vector-search skill.
Dependency Matrix
Required Modules
wikimedia-api-accesswikidata
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: wikidata-vector-search Download link: https://github.com/fuzheado/Wikipedia-AI-Skills/archive/main.zip#wikidata-vector-search Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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