LibreAI / RAG & Knowledge / compiiile
// rag · compiiile/compiiile

compiiile

compiiile is an open-source rag & knowledge project by compiiile (compiiile/compiiile on GitHub). It has 276 GitHub stars and 18 forks, is released under the GPL-3.0 license, and was last updated on GitHub on 18 August 2026.

Render and deploy a folder of markdown as a site in one move.

💎 Hidden gem★ 276 stars⑂ 18 forksGPL-3.0updated 2026-08
▦ visual — this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
// project facts

Project facts

GitHub stars
276
Forks
18
License
GPL-3.0
Last updated on GitHub
18 August 2026
Listing
Hidden gem — a shorter page for a lesser-known project
Official site
Official site
// how it works

How it works

  1. Install compiiile

    Get the CLI from the official site.

  2. Point at a folder

    Target any directory of markdown files.

  3. Preview locally

    See the rendered site with search.

  4. Deploy it

    Ship the static site anywhere.

// features

Why people love it

Markdown to site

A folder of .md becomes a website.

Live preview

See changes as you write.

Full-text search

Search across all your pages.

Slides mode

Render decks with reveal.js.

Self-hosted

Deploy the static output anywhere.

Knowledge base ready

Great for team wikis and docs.

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// run it

Run it yourself

  1. Step 1 — Clone the repo

    Download the source and enter the folder.

    git clone https://github.com/compiiile/compiiile.git
    cd compiiile
  2. Step 2 — Install deps

    Install the Node.js dependencies.

    npm install
  3. Step 3 — Preview a folder

    Render any markdown directory.

    npx compiiile ./docs
// use cases

What you can build

  • Publish a markdown knowledge base as a site.
  • Turn meeting notes into a searchable wiki.
  • Render slide decks from markdown.
  • Self-host project documentation.
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// faq

Questions, answered

What is compiiile?

A tool to render and deploy a folder of markdown files as a site, at compiiile/compiiile.

Do I need a CMS?

No. Your markdown folder is the source of truth.

Can it make slides?

Yes. It supports reveal.js slide rendering.

Is it free?

The source is open under GPL-3.0.

Where can I deploy the output?

Any static host, since it builds plain HTML.

// keep exploring

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// alternatives

Alternatives in RAG & Knowledge

The most-starred other RAG & Knowledge projects in the LibreAI catalogue — the realistic shortlist if compiiile is not the right fit.

  • MarkItDown★ 193.5k

    MarkItDown — Microsoft tool that converts PDFs, Office files, images and more to clean Markdown for LLMs, MIT

  • Dify★ 157.8k

    Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or…

  • ragflow★ 91.6k

    RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context…

  • PaddleOCR★ 90.8k

    Lightweight OCR toolkit turning PDFs and images into structured, LLM-ready data in 100+ languages

  • MinerU★ 82.5k

    MinerU — turns PDFs and Office documents into LLM-ready Markdown and JSON for agents and RAG pipelines, Apache-2.0 plus terms

// more in rag

More in RAG & Knowledge

Nearby RAG & Knowledge projects in the catalogue, closest in stars to compiiile — keep exploring the shelf either side of it.

  • ezdata★ 293

    AI-native data platform: 60+ connectors, ETL, scheduling, and RAG search.

  • uteke★ 268

    Self-hosted rag & knowledge: 🧠 the brain for your ai — local-first memory engine for.

  • knowledge-base★ 328

    Knowledge-base — 本地优先的知识库桌面应用。markdown 编辑器 + 全文搜索(fts5) + 双向链接 / 知识图谱;多端, publicly avai...

  • ontosphere★ 247

    Edit RDF knowledge graphs in your browser — no backend needed.

  • AppFlowy-Web★ 335

    Open-source AI workspace for projects, wikis, and team docs.

  • vexor★ 242

    Semantic search engine designed for files and code.

Get compiiile

Free and open — grab the source, star the repo, and start creating.