AgenticRAG-Survey: Agentic-RAG explores advanced Retrieval-Augmented Generation systems enhanced with AI LLM agents

by asinghcsu · Agent Tool · ★ 1.7k

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Security audit verdict: SAFE · quality 50/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

agenticagentic-aiagentic-frameworkagentic-patternagentic-ragagentic-workflowllm-agentmulti-agent-systemsmultiagentrag

Quick Facts

Stars1,734
Forks185
CategoryAgent Tool
Quality Score50/100
Last Updated2025-10-20
Created2025-01-10
Est. Tokens~1201k

About AgenticRAG-Survey

Agentic Retrieval-Augmented Generation : A Survey On Agentic RAG Overview of Agentic RAG Recent Update (2025-02-04): Check section 4 in the table of contents in this repo for the new Agentic Workflow Patterns. New images have been added to enhance the Overview of Agentic RAG. The paper is also updated.

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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