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MagicAF

MagicAF is the open-source Rust AI/ML/NLP framework by **Intracav**. It provides the foundational building blocks for AI systems — embeddings, vector search, LLM orchestration, RAG pipelines, and a full NLP toolkit — with zero cloud dependencies. Air-gapped-capable and built for on-premises deployment: designed for hospitals and other environments where data cannot leave the network. It is the framework underneath Lumen, Intracav's clinical AI platform, and this site also documents **Lumen UI**,

For agents: Open-source Rust AI/NLP framework (MagicAF) for embeddings, vector search, RAG and LLM orchestration, plus the Lumen clinical AI platform docs; air-gapped capab

rustragembeddingsvector-searchon-premises-aiclinical-ai

Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-27T09:16:44.612Z. Cached copy · Source on intracav.ai

# MagicAF

> MagicAF is the open-source Rust AI/ML/NLP framework by **Intracav**. It provides the foundational building blocks for AI systems — embeddings, vector search, LLM orchestration, RAG pipelines, and a full NLP toolkit — with zero cloud dependencies. Air-gapped-capable and built for on-premises deployment: designed for hospitals and other environments where data cannot leave the network. It is the framework underneath Lumen, Intracav's clinical AI platform, and this site also documents **Lumen UI**, the component DSL that renders Lumen's AI-generated interfaces.

## How to use this file

This is the structured index of magicaf.intracav.ai for AI agents — Claude, ChatGPT, Gemini, Perplexity, and the like. Every URL here is canonical and citable. Source code lives at https://github.com/magicaf/magicaf.

Three machine-readable formats are available:

- **This file** (https://magicaf.intracav.ai/llms.txt) — the index: every page on the site with a one-line description.
- **https://magicaf.intracav.ai/llms-full.txt** — the entire documentation corpus as a single Markdown document (195 pages). Use this when you want the whole thing in one fetch.
- **Per-page Markdown** — append `index.md` to any page URL for clean Markdown without site chrome. Example: `https://magicaf.intracav.ai/docs/getting-started/quickstart/index.md`. Every HTML page also advertises this via `<link rel="alternate" type="text/markdown">`.

Crawling is explicitly permitted for AI agents — see https://magicaf.intracav.ai/robots.txt and https://magicaf.intracav.ai/.well-known/ai.txt.

## Overview

- [MagicAF home](https://magicaf.intracav.ai/): Open-source Rust AI framework for RAG pipelines, NLP, embeddings, vector search, and LLM orchestration — built to run air-gapped with zero cloud dependencies, for environments where data cannot leave the network.
- [Documentation home](https://magicaf.intracav.ai/docs/)
- [About MagicAF](https://magicaf.intracav.ai/about/): what the framework is, who builds it, and the Intracav ecosystem.

## Getting Started

Install MagicAF, configure local services, and run your first RAG pipeline.

- [Getting Started (section hub)](https://magicaf.intracav.ai/docs/getting-started/)
- [Prerequisites](https://magicaf.intracav.ai/docs/getting-started/prerequisites/): System requirements and local services needed to run MagicAF.
- [Installation](https://magicaf.intracav.ai/docs/getting-started/installation/): Add MagicAF to your Rust project and configure the environment.
- [Quickstart](https://magicaf.intracav.ai/docs/getting-started/quickstart/): Build a complete RAG pipeline in under 50 lines of Rust — embed, store, retrieve, and answer, all against local services.

## Core Concepts

Understand MagicAF's architecture, layered design, and extension model.

- [Core Concepts (section hub)](https://magicaf.intracav.ai/docs/core-concepts/)
- [Architecture](https://magicaf.intracav.ai/docs/core-concepts/architecture/): MagicAF's three-layer architecture —
…

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