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retrieval-search-orchestration

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Design optimal retrieval for GraphRAG.

Software Engineering#query optimization#knowledge graph#rag#retrieval#provenance#graphrag
Authorlyndonkl
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill helps you design robust retrieval strategies for querying knowledge graphs in Retrieval-Augmented Generation (RAG) systems, ensuring accurate and relevant information is fetched.

Core Features & Use Cases

  • Pattern Selection: Guides you in choosing the best retrieval pattern (Global-First, Local-First, U-Shaped Hybrid, etc.) based on query types.
  • Query Decomposition: Provides strategies for breaking down complex multi-hop questions into manageable sub-queries.
  • Provenance Design: Helps establish clear tracking of information origins for verifiability.
  • Use Case: When building a RAG system for a complex knowledge graph, this skill will help you select the most effective method to retrieve information for diverse user queries, from simple fact lookups to intricate reasoning tasks.

Quick Start

Use the retrieval-search-orchestration skill to design a retrieval strategy for a knowledge graph RAG system.

Dependency Matrix

Required Modules

None required

Components

references

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: retrieval-search-orchestration
Download link: https://github.com/lyndonkl/claude/archive/main.zip#retrieval-search-orchestration

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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