# rag-ferrite

> rag-ferrite — lelabdev-rag-ferrite. Use this tool when you need to create a simple and fast personal RAG (Retrieve, Augment, Generate) engine for building native collections and managing knowledge bases. It solves problems related to information retrieval and generation, providing a lightweight alternative to complex frameworks like LangChain. With a straightforward interface that accepts git repositories as input, rag-ferrite generates a unified database output for easy access and management.

Canonical page: https://skillsregistry.net/skills/lelabdev-rag-ferrite  
JSON: https://api.skillsregistry.net/v1/skills/lelabdev-rag-ferrite

## Description

Personal RAG engine — simple, fast, Rust. One binary (15 MB), one DB, native collections. MCP-native.

## Trust

- **Trust score (0–1):** 0.17
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/lelabdev/rag-ferrite)

## 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": "lelabdev-rag-ferrite"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lelabdev-rag-ferrite` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lelabdev-rag-ferrite/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