# Agentic-RAG

> Agentic-RAG — sun1206-agentic-rag. Use this tool when you need to generate accurate answers to complex questions over academic papers, leveraging hybrid search and multi-hop reasoning capabilities. It solves problems of information retrieval and knowledge graph-based question answering, providing source-cited answers for enhanced credibility. Ideal for applications requiring in-depth analysis and evidence-based responses, such as research assistance and academic inquiry.

Canonical page: https://skillsregistry.net/skills/sun1206-agentic-rag  
JSON: https://api.skillsregistry.net/v1/skills/sun1206-agentic-rag

## Description

An MCP-based multi-agent retrieval-augmented generation system that enables question answering over academic papers with hybrid search, knowledge graph multi-hop reasoning, and source-cited answers.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/w5nuhcw894)
- **Repository:** <https://github.com/Sun1206/Agentic-RAG>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "sun1206-agentic-rag"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sun1206-agentic-rag` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sun1206-agentic-rag/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt