# confluence-vectorless-rag

> Use this tool when you need to query Confluence documents using hierarchical structure rather than vector similarity. It solves problems of inefficient document searching and information retrieval by enabling agentic reasoning over document trees. This tool takes Confluence document hierarchies as input and outputs relevant information, making it ideal for use cases where structural navigation is more effective than traditional similarity-based search.

Canonical page: https://skillsregistry.net/skills/piter5285-vectorless-agentic-rag  
JSON: https://api.skillsregistry.net/v1/skills/piter5285-vectorless-agentic-rag

## Description

Enables querying Confluence documents through agentic reasoning over hierarchical document trees, replacing vector similarity with structural navigation.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ggm61u4ic1)
- **Repository:** <https://github.com/piter5285/vectorless-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": "piter5285-vectorless-agentic-rag"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/piter5285-vectorless-agentic-rag` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/piter5285-vectorless-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