# rag-llm-wiki-knowledge-base

> rag-llm-wiki-knowledge-base — qy24-rag-llm-wiki-knowledge-base. Use this tool when you need to create a self-hosted wiki knowledge base with advanced document parsing and hybrid retrieval capabilities. It solves problems related to knowledge management, information retrieval, and multi-tenant data isolation, accepting document inputs and outputting relevant knowledge graph results. Ideal for use cases requiring secure, LAN-based data storage and fast API access.

Canonical page: https://skillsregistry.net/skills/qy24-rag-llm-wiki-knowledge-base  
JSON: https://api.skillsregistry.net/v1/skills/qy24-rag-llm-wiki-knowledge-base

## Description

Self-hosted RAG x LLM Wiki knowledge base framework: document parsing/chunking/vectorization, knowledge graph, hybrid retrieval (vector + graph), multi-tenant API-key isolation, session memory, vision RAG, MCP server. FastAPI + Vue3, data stays on your LAN.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/qy24/rag-llm-wiki-knowledge-base)

## 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": "qy24-rag-llm-wiki-knowledge-base"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/qy24-rag-llm-wiki-knowledge-base` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/qy24-rag-llm-wiki-knowledge-base/pull`

---
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