RAG is an OpenClaw skill. Build, optimize, and debug RAG pipelines with chunking strategies, retrieval tuning, evaluation metrics, and production monitoring. It belongs to the Other collection. For background, see Haystack (deepset) - RAG and Agent Pipelines in our wiki.
RAG 监控、流水线工具，支持监控、构建、调试、优化。
RAG has 613 downloads so far.
Real-time monitoring
One-command install via OpenClaw
Installing RAG in OpenClaw takes just one command. Make sure you have OpenClaw set up and running before proceeding.
Run the following command in your terminal to add RAG to your OpenClaw instance:
openclaw skill install ragConfirm the skill is properly installed and ready to use:
openclaw skill listThe skill is now available in your OpenClaw conversations. Simply describe what you want to accomplish, and OpenClaw will automatically invoke RAG when relevant.
What people do with RAG:
| Author | ivangdavila |
| Category | Other |
| Version | 1.0.0 |
| Updated | 2026-02-26 |
| Downloads | 613 |
| Score | 424 |
| Homepage | https://clawhub.ai/ivangdavila/rag |
RAG is an OpenClaw skill. Build, optimize, and debug RAG pipelines with chunking strategies, retrieval tuning, evaluation metrics, and production monitoring. Install it with one command and it works inside your existing setup.
RAG EXAMPLES With RAG on OpenClaw, you can handle this directly from your AI assistant.
Run "openclaw skill install rag" in your terminal. OpenClaw must be set up first. After install, the skill is available in your conversations automatically.
Yes. RAG is free and open-source. Install it from the OpenClaw skill directory at no cost. Maintained by ivangdavila.
Learn more from these authoritative sources:
Discover other popular skills in the Other category.