RAG

What this skill does

Designs, tunes, and debugs retrieval-augmented generation (RAG) pipelines: chunking, embeddings, hybrid retrieval, reranking, and grounded answers. Use when a system returns the wrong passages, misses a document that is indexed, cites nothing, or hallucinates over good context; when choosing a vector store, an embedding model, a chunk size, or a reranker; when similarity scores collapse after a model swap; when a metadata filter empties the result set; when answers ignore mid-context facts; when follow-up questions retrieve the wrong thing; when indexing PDFs, scanned pages, tables, code, or transcripts; when GDPR erasure, tenant isolation, or prompt injection from indexed documents is the problem; or when per-query cost or p95 latency has to come down. Covers reindex migrations, corpus freshness, evaluation sets, and agentic and graph retrieval. Not for splitter internals (`rag-chunking`), scoring rubrics (`rag-evaluation`), or LangChain APIs (`langchain`).

RAG is part of the Developer Tools category — developer tools that help your agent write, review, debug, and ship code. You can install it on its own or alongside other developer tools skills from the OpenClaw catalog.

How to install RAG

The easiest path is via the OpenClaw Easy desktop app — one click, no terminal required:

1. Download OpenClaw Easy for macOS or Windows (free, one-click installer, ~30 seconds).
2. Open the in-app Skills panel.
3. Search for rag and click Install.
4. The skill activates automatically when an incoming message matches its description.

Install from the command line

If you already run the OpenClaw CLI, add RAG with a single command:

openclaw skills add rag

This pulls rag from ClawHub and installs it into ~/.openclaw/skills/rag/. Restart the OpenClaw gateway afterwards so the new skill is discovered.

How to use RAG

Once installed, RAG activates on its own: when an incoming message on WhatsApp, Telegram, Slack, Discord, Feishu or Line matches the skill's description, your OpenClaw agent loads it and runs the workflow. You can also trigger it explicitly by describing the task in chat. No extra configuration is required after install.

Manual install (advanced)

If you prefer manual installation:

1. Click the Download .zip button above to grab rag-1.0.2.zip directly from our S3 mirror.
2. Unzip into ~/.openclaw/skills/rag/ (create the directory if it does not exist).
3. Restart OpenClaw Easy (or the OpenClaw CLI gateway) so the new skill is discovered.

Frequently asked questions

How do I install RAG?

Install RAG in the OpenClaw Easy desktop app by opening the Skills panel, searching for rag, and clicking Install. From a terminal you can run: openclaw skills add rag. Either way the skill is placed in ~/.openclaw/skills/rag/.

Is RAG free?

Yes. RAG is free and open-source, distributed under the Apache-2.0 license through ClawHub. No account or payment is required to download or run it.

What does RAG do?

Designs, tunes, and debugs retrieval-augmented generation (RAG) pipelines: chunking, embeddings, hybrid retrieval, reranking, and grounded answers.

Related: more developer tools skills

If RAG looks useful, you may also want to check out other developer tools skills in the OpenClaw catalog:

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