# BioRAG-AI-Agent

> BioRAG-AI-Agent — papagiannopoulos-biorag-ai-agent. Use this tool when you need to retrieve relevant biomedical information from large datasets, solve problems related to semantic search and data integration, and require a system that can understand complex biomedical queries. The BioRAG-AI-Agent takes in natural language queries as input and outputs relevant biomedical concepts, entities, and relationships. It is ideal for use cases involving biomedical research, clinical decision support, and knowledge discovery, where accurate and efficient information retrieval is crucial.

Canonical page: https://skillsregistry.net/skills/papagiannopoulos-biorag-ai-agent  
JSON: https://api.skillsregistry.net/v1/skills/papagiannopoulos-biorag-ai-agent

## Description

An Intelligent Biomedical Semantic-Retrieval System

## Trust

- **Trust score (0–1):** 0.85
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** GPL-3.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Papagiannopoulos/BioRAG-AI-Agent)

## 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": "papagiannopoulos-biorag-ai-agent"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/papagiannopoulos-biorag-ai-agent` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/papagiannopoulos-biorag-ai-agent/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