🌍 A multilingual knowledge base and AI teaching repository for small local models.
This repository brings together structured AI knowledge, learning guides, reusable agent skills, configurable agent modes, and runnable projects. It is intended for learning, experimentation, and building local AI systems.
For the full directory map, content-area guidance, and contribution conventions, see the Repository Guide. The Wiki is the detailed documentation hub; this page is intentionally a quick orientation.
cd guides/projects/rag_simple
pip install -r requirements.txt
python main.pyBrowse all implementations in Runnable Projects.
| Interest | Start here |
|---|---|
| New to AI/ML | Beginner path |
| NLP and search | RAG guide |
| Language models | Transformers guide |
| Computer vision | CNN guide |
| Autonomous systems | Agentic Systems guide |
Before installing anything, check the Getting Started wiki page and hardware guidance.
- Guides: sequenced tutorials, prerequisites, errors, and projects.
- Knowledge Base: focused reference content in 20 languages.
- Skills Library: reusable capabilities for AI agents.
- Agent Modes: behavior configurations for coding, research, debugging, review, and testing.
- Wiki: architecture, model development, deployment, monitoring, security, learning paths, and references.
Start with the Contributing Guide. When adding documentation, follow the repository conventions in the Repository Guide, update the nearest index, and link to existing material instead of duplicating it.
Built for the local and open source AI community.