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rahulgupta2018
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ontology-guided-retrieval

Ground queries to ontology concepts and execute hybrid graph-vector searches.

Updated Jul 23, 2026
Search Tags:#ontology#rag#compliance#retrieval#provenance#knowledge-graph
One-click install
npx skills add https://github.com/rahulgupta2018/agent-skills --skill ontology-guided-retrieval
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ontology-guided-retrieval
Source: https://github.com/rahulgupta2018/agent-skills/tree/main/skills/ontology-guided-retrieval
Command: npx skills add https://github.com/rahulgupta2018/agent-skills --skill ontology-guided-retrieval

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill solves the problem of imprecise or irrelevant information retrieval by grounding user queries in a structured domain ontology, ensuring that retrieved evidence is contextually accurate, authoritative, and jurisdictionally relevant.

Core Features & Use Cases

  • Intent Grounding: Maps natural language queries to specific ontology concepts rather than relying on simple keyword matching.
  • Hybrid Retrieval: Combines graph traversal for relationship-based queries with vector similarity for semantic recall.
  • Authority-Based Ranking: Automatically filters and ranks results based on source authority, jurisdictional validity, and temporal relevance.
  • Use Case: A compliance officer needs to determine if a specific housing policy change is currently in force for a particular region; this skill retrieves the exact clause, validates its status, and provides the necessary provenance.

Quick Start

Activate the ontology-guided-retrieval skill to fetch the most authoritative and current evidence for the user query regarding the specified domain concepts.

Frequently Asked Questions about ontology-guided-retrieval

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

FAQPage Schema
How does ontology-guided retrieval improve compliance evidence gathering?▼

Hybrid retrieval combines graph traversal for relationship-based queries with vector similarity for semantic recall. This dual approach grounds user queries in domain ontology concepts, ensuring high-precision evidence assembly for compliance and legal briefing tasks.

How do I retrieve jurisdictionally valid legal clauses using a knowledge graph?▼

You can filter compliance retrieval results by jurisdiction, authority, and temporal validity by mapping natural language queries to specific ontology concepts. This intent grounding ensures that retrieved evidence is contextually accurate and jurisdictionally relevant across multi-tier knowledge sources.

Can I use semantic search and graph traversal together for legal document retrieval?▼

The skill grounds natural language queries in domain ontology concepts rather than relying on simple keyword matching. This intent grounding ensures that retrieved evidence is contextually accurate, authoritative, and relevant for compliance and technical briefing tasks.

What is the best way to assemble high-precision evidence for legal briefings?▼

The skill ranks retrieved evidence automatically based on source authority, jurisdictional validity, and temporal relevance. This authority-based ranking operates across multi-tier knowledge sources to satisfy requirements for high-precision evidence assembly in compliance and legal tasks.

Does ontology-based retrieval work for multi-tier compliance knowledge sources?▼

The skill operates across multi-tier knowledge sources to filter by jurisdiction, authority, and temporal validity. This ensures that compliance officers retrieve exact clauses, validate their status, and receive necessary provenance for high-precision evidence assembly.

Why use ontology concept mapping instead of keyword matching for compliance retrieval?▼

The skill solves imprecise information retrieval by grounding natural language queries in structured domain ontology concepts instead of simple keyword matching. This ensures retrieved evidence is contextually accurate, authoritative, and jurisdictionally relevant for compliance tasks.

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