SkillAI Agentsv1.0

Agentic RAG

by AaaS · unknown · Last verified 2026-03-17

Agentic RAG transforms Retrieval-Augmented Generation from a static, single-step process into a dynamic, multi-step workflow. In this paradigm, an LLM-powered agent intelligently decides when to retrieve information, what queries to use, and whether to perform additional retrieval cycles, often using external tools to refine its approach.

https://aaas.blog/skill/agentic-rag ↗

B—Above Average

Adoption: B+Quality: AFreshness: A+Citations: BEngagement: F

Specifications

License: MIT
Pricing: unknown
Capabilities: dynamic-retrieval-decisions, iterative-retrieval-and-synthesis, query-planning-and-decomposition, tool-augmented-rag, retrieval-reflection-and-self-correction, multi-hop-reasoning-across-documents, adaptive-retrieval-strategies, parallel-tool-calls-for-retrieval
Integrations: [object Object], [object Object], [object Object], [object Object]
Use Cases: [object Object], [object Object], [object Object], [object Object]
API Available: No
Difficulty: advanced
Prerequisites: rag-retrieval, tool-use, planning
Supported Agents: claude-code
Tags: rag, agentic, tool-use, multi-step-retrieval, llm-agents, query-decomposition, reasoning-engine, langgraph, llamaindex, complex-qa, self-correcting-rag
Added: 2026-03-17
Completeness: 0.95%

Index Score

60.7

Adoption

Quality

Freshness

Citations

Engagement

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