RAG Pipeline for OpenClaw — Review, Trust Score & Install Guide

Short answer: RAG Pipeline is a verified OpenClaw skill for ai & llms. Trust Score 98/100 based on source transparency, permission scope, install safety, update recency, community signal, and documentation quality.

Trust Score: 98/100

Security tier: Verified
Risk level: Low
Last reviewed: 2026-02-22
Reviewer: OpenClaw Skills Hub editorial team
Version: 2.5.0
Author: openclaw-core
Install command: npx clawhub@latest install rag-pipeline

How we calculate Trust Scores →

What RAG Pipeline does

RAG Pipeline provides an end-to-end framework for building Retrieval-Augmented Generation systems. Ingest documents (PDF, DOCX, HTML, Markdown), chunk them intelligently, generate embeddings, store in vector databases, and retrieve relevant context for LLM queries. Includes hybrid search (semantic + keyword), reranking, and citation tracking.

How to install RAG Pipeline

Install the OpenClaw CLI: npm install -g clawhub@latest
Install this skill: npx clawhub@latest install rag-pipeline
Verify the install: openclaw skills list

Security review

This skill is currently classified as Verified with a low risk profile. Our reviewers inspected the SKILL.md manifest, dependency tree, declared permissions, network calls, and shell commands before publishing this score. See our editorial policy and Trust Score methodology for the full rubric.

Best for

Build Q&A systems over your company's knowledge base
Create AI assistants that cite their sources
Process and query large document collections
Build customer support bots grounded in your docs

Avoid if

You need a fully air-gapped install with no network calls.
Your environment forbids skills with third-party dependencies.
You require a formally audited SBOM that this version does not yet provide.

Alternatives & related skills

Embeddings Manager — Generate, store, and search vector embeddings for semantic search, clustering, and recommendation systems.
Context Window Manager — Intelligently manage large context windows — chunk, summarize, and prioritize content to fit any model's limits.
Deep Research — Conduct multi-source research with automatic synthesis, citation tracking, and fact verification.

Frequently asked questions

What document formats does it support?

PDF, DOCX, XLSX, HTML, Markdown, plain text, and Notion exports. It handles tables, images with OCR, and code blocks.

How does hybrid search work?

It combines vector similarity search with BM25 keyword matching, then reranks results using a cross-encoder for maximum relevance.

How do I install RAG Pipeline?

Run `npx clawhub@latest install rag-pipeline` from any directory with Claude Code or OpenClaw installed. The skill is added to your local SKILL.md registry and is available to your agent immediately — no restart required.