rag-query

Query the RawgrowthOS knowledge graph for grounded answers via HTTP API.

Updated Apr 21, 2026
One-click install
npx skills add https://github.com/scanbott/claude-skills --skill rag-query-scanbott
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: rag-query
Source: https://github.com/scanbott/claude-skills/tree/main/rag-query
Command: npx skills add https://github.com/scanbott/claude-skills --skill rag-query-scanbott

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Answers grounded in indexed documents can be hard to retrieve from the RawgrowthOS knowledge graph. This Skill provides a direct way to query the graph and obtain answers tied to relevant documents.

Core Features & Use Cases

  • Grounded Q&A: query the RawgrowthOS knowledge graph for answers grounded in indexed documents.
  • Flexible modes: supports hybrid, local, global, and naive modes for varying specificity.
  • Lightweight integration: uses a simple HTTP curl-based workflow and clear response formats to integrate with existing tools.

Quick Start

Just provide a question to the RAG service endpoint to get a grounded answer.

Frequently Asked Questions about rag-query

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I query a knowledge graph for grounded answers using RAG?

To retrieve grounded answers from a knowledge graph, send a JSON payload with your question and querying mode to the HTTP API endpoint. The RAG service returns a structured answer tied to indexed documents.

What is the difference between hybrid, local, global, and naive RAG querying modes?

Hybrid mode fits general querying, local mode targets specific entity lookups, global mode uncovers cross-domain patterns, and naive mode performs simple vector similarity retrieval from indexed documents.

Can I integrate RAG knowledge graph querying into existing tools via curl?

Yes, you can query the knowledge graph using a simple HTTP curl-based workflow. It accepts a JSON payload and returns clear response formats, enabling lightweight integration with your existing tools.

When do I need to use global mode for cross-domain knowledge graph retrieval?

You need global mode when you want to uncover cross-domain patterns within the knowledge graph. It queries indexed documents to return grounded answers spanning multiple domains, unlike specific local lookups.

Does the RAG query API require any external dependencies?

No, the RAG query API operates without external dependencies. It uses a lightweight curl-based workflow to query indexed documents and retrieve structured answers directly from the knowledge graph.