# RagWiser

> RagWiser — robertodure-ragwiser. Use this tool when you need to extract insights from PDF documents using natural language queries, and leverage Retrieval Augmented Generation to process and understand complex document content. RagWiser solves problems related to document analysis, information retrieval, and question answering, providing users with relevant outputs based on their input queries. It accepts PDF uploads and natural language inputs, and outputs relevant answers and information extracted from the documents.

Canonical page: https://skillsregistry.net/skills/robertodure-ragwiser  
JSON: https://api.skillsregistry.net/v1/skills/robertodure-ragwiser

## Description

RagWiser is a Retrieval Augmented Generation (RAG) system built with Spring Boot that enables users to upload PDF documents, process them, and ask questions about their content using natural language.

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/RobertoDure/RagWiser)

## 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": "robertodure-ragwiser"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/robertodure-ragwiser` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/robertodure-ragwiser/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