# local-RAG-backend

> Use this tool when you need to perform advanced document searches across multiple file formats, or track evolving relationships between concepts. It solves problems related to information retrieval, knowledge graph construction, and document analysis, providing outputs such as relevant search results and graph-based concept relationships. It accepts various document inputs and supports integration via the Model Context Protocol.

Canonical page: https://skillsregistry.net/skills/suwa-sh-local-rag-backend  
JSON: https://api.skillsregistry.net/v1/skills/suwa-sh-local-rag-backend

## Description

A Docker-based local RAG backend that provides advanced document search capabilities using vector, graph, and full-text retrieval via the Model Context Protocol. It supports over 28 file formats and tracks evolving relationships between concepts using a Neo4j-backed graphiti implementation.

## Trust

- **Trust score (0–1):** 0.19
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/emzd95qbx0)
- **Repository:** <https://github.com/suwa-sh/local-RAG-backend>

## 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": "suwa-sh-local-rag-backend"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/suwa-sh-local-rag-backend` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/suwa-sh-local-rag-backend/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