About WikiRest

Making Wikipedia's knowledge accessible for AI applications

Our Mission

WikiRest was built to solve a simple problem: making Wikipedia's vast knowledge base easily accessible for modern AI applications. Traditional Wikipedia APIs are powerful but complex, returning data formats that aren't optimized for LLMs and RAG pipelines.

What We Built

WikiRest provides a fast, developer-friendly API that returns pre-chunked Wikipedia passages optimized for LLM context windows. Our search is powered by Meilisearch, delivering sub-50ms response times with semantic relevance ranking.

Key Features

  • Fast full-text search - Sub-50ms response times across 6+ million articles
  • LLM-optimized chunks - Pre-chunked passages (~500 tokens) ready for context injection
  • Clean JSON API - Simple REST endpoints with predictable responses
  • Source URLs - Every response includes Wikipedia links for attribution
  • Generous free tier - 5,000 requests/month to get started

Use Cases

Developers use WikiRest to:

  • Build RAG (Retrieval-Augmented Generation) pipelines
  • Add Wikipedia knowledge to ChatGPT and Claude assistants
  • Create fact-checking and verification tools
  • Power educational applications
  • Build research and citation tools

Technology

WikiRest is built on modern, reliable infrastructure:

  • Go API server with chi router
  • Meilisearch for blazing-fast full-text search
  • Cloudflare for global CDN and DDoS protection
  • Regular updates from Wikipedia dumps

Data & Licensing

All Wikipedia content is sourced from official Wikimedia dumps and is licensed under CC BY-SA 4.0. When using WikiRest data, you must:

  • Attribute Wikipedia as the source
  • Include links to original articles
  • Share derivative works under the same license

Get Started

Ready to build with Wikipedia knowledge? Get your free API key and start making requests in minutes.

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