# Build graph-based retrieval workflows with GraphRAG

> Index private text into graph-backed retrieval structures, tune prompts, and query the resulting knowledge graph for RAG workflows.

- Skill: `agentskillexchange/build-graph-based-retrieval-workflows-with-graphrag` (Agent Skill)
- Install (CLI): `npx skillmds@latest add agentskillexchange/build-graph-based-retrieval-workflows-with-graphrag`
- Raw SKILL.md: https://api.skillmd.com/api/skills/agentskillexchange/build-graph-based-retrieval-workflows-with-graphrag/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: agentskillexchange (https://skillmd.com/u/agentskillexchange)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/agentskillexchange/build-graph-based-retrieval-workflows-with-graphrag

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# Build graph-based retrieval workflows with GraphRAG

Index private text into graph-backed retrieval structures, tune prompts, and query the resulting knowledge graph for RAG workflows.

## Prerequisites

Python, GraphRAG CLI/package, LLM credentials, bounded text corpus

## Installation

Requirements and caveats from upstream:
- trademarks or logos is subject to and must follow
- Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship.

Basic usage or getting-started notes:
- To get started with the GraphRAG system we recommend trying the [command line quickstart](https://microsoft.github.io/graphrag/get_started/).
- This repository presents a methodology for using knowledge graph memory structures to enhance LLM outputs. Please note that the provided code serves as a demonstration and is not an officially supported Microsoft offe...
- ⚠️ *Warning: GraphRAG indexing can be an expensive operation, please read all of the documentation to understand the process and costs involved, and start small.*

- Source: https://github.com/microsoft/graphrag
- Extracted from upstream docs: https://raw.githubusercontent.com/microsoft/graphrag/HEAD/README.md

## Documentation

- https://microsoft.github.io/graphrag/

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/build-graph-based-retrieval-workflows-with-graphrag/)

