RAG
by community
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Description
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`).
Install RAG
Run this in your OpenClaw agent to add RAG from the ClawHub registry.
openclaw skills install ragRequires ClawHub registry access. Review the security analysis below before installing.
Security Analysis
Open Source
Code is publicly available for audit.
Community Verified
Reviewed by the ClawHub community.
Community Reviews
Real user ratings only — separate from the editorial assessment and ClawHub signal.
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Frequently asked questions
Is RAG safe to install?
RAG has a SkillsReview security score of 50/100. It is open source and community-verified on ClawHub. Check the full Security Analysis on this page before installing.
How much does RAG cost?
RAG is free to install for OpenClaw via ClawHub.
What are the best alternatives to RAG?
You can compare RAG side by side with similar OpenClaw skills on the SkillsReview comparison page to find the best fit for your workflow.
How do I install RAG?
Install RAG from ClawHub at clawhub.ai/skills/rag, or use the install action on this page to copy the command for your OpenClaw agent.
Community Signal
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