Build RAG systems with Ollama local + cloud models. Latest cloud models include DeepSeek-V3.2 (GPT-5 level), Qwen3-Coder-480B (1M context), MiniMax-M2. Use for document Q&A, knowledge bases, and agentic RAG. Covers LangChain, LlamaIndex, ChromaDB, and embedding models.
Quickly install ollama-rag AI skill to your development environment via command line
Source: cuba6112/skillfactory.
Build RAG systems with Ollama - run locally or use cloud for massive models.
Access via ollama signin (v0.12+). No local storage needed, privacy preserved.
| Model | Params | Context | Best For |
Build RAG systems with Ollama local + cloud models. Latest cloud models include DeepSeek-V3.2 (GPT-5 level), Qwen3-Coder-480B (1M context), MiniMax-M2. Use for document Q&A, knowledge bases, and agentic RAG. Covers LangChain, LlamaIndex, ChromaDB, and embedding models. Source: cuba6112/skillfactory.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/cuba6112/skillfactory --skill ollama-ragBuild RAG systems with Ollama local + cloud models. Latest cloud models include DeepSeek-V3.2 (GPT-5 level), Qwen3-Coder-480B (1M context), MiniMax-M2. Use for document Q&A, knowledge bases, and agentic RAG. Covers LangChain, LlamaIndex, ChromaDB, and embedding models. Source: cuba6112/skillfactory.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/cuba6112/skillfactory --skill ollama-rag Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/cuba6112/skillfactory