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GraphRAG를 사용한 그래프 기반 검색 워크플로우 구축

비공개 텍스트를 그래프 기반 검색 구조로 색인하고, 프롬프트를 조정하며, 결과 지식 그래프를 쿼리하여 RAG 워크플로우를 지원합니다.

GraphRAG를 사용한 그래프 기반 검색 워크플로우 구축란 무엇인가요?

이 스킬은 Microsoft의 GraphRAG를 활용하여 비공개 텍스트 코퍼스를 그래프 기반 검색 구조로 색인하고, 프롬프트를 최적화하며, 생성된 지식 그래프를 쿼리함으로써 RAG(Retrieval-Augmented Generation) 워크플로우를 구축하는 방법을 설명합니다. 주요 사용 사례로는 대규모 문서 집합에 대한 정확한 검색 증강 응답 생성이 있으며, Claude Code, Cursor, Codex 등 다양한 AI 에이전트 플랫폼에서 활용할 수 있습니다. GraphRAG CLI 또는 Python 패키지를 통해 설치 및 실행되며, LLM 자격 증명과 텍스트 코퍼스가 필요합니다. Indexing 과정에서 비용이 발생할 수 있으므로 공식 문서를 통해 절차와 비용을 충분히 이해한 후 시작하는 것이 중요합니다. 이 스킬은 Microsoft에서 제공하는 데모 수준의 코드를 기반으로 하며, 공식 지원 제품이 아님을 유의해야 합니다.

지원 대상~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/build-graph-based-retrieval-workflows-with-graphrag
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이 에이전트 스킬이 미리 로드된 새 채팅을 엽니다.

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문서

GraphRAG를 사용한 그래프 기반 검색 워크플로우 구축은(는) 무엇을 하나요?

비공개 텍스트를 그래프 기반 검색 구조로 색인하고, 프롬프트를 조정하며, 결과 지식 그래프를 쿼리하여 RAG 워크플로우를 지원합니다.

사전 요구 사항

Python, GraphRAG CLI/패키지, LLM 자격 증명, 경계가 명확한 텍스트 코퍼스

설치

상위 저장소의 요구 사항 및 주의 사항:

  • 상표 또는 로고의 사용은 다음 조건을 따라야 함
  • 수정된 버전에서 Microsoft 상표 또는 로고를 사용할 경우 Microsoft의 후원을 암시하는 혼동을 주어서는 안 됨

기본 사용법 또는 시작 가이드:

  • GraphRAG 시스템을 시작하려면 명령줄 퀵스타트를 권장합니다.

  • 이 저장소는 지식 그래프 메모리 구조를 사용하여 LLM 출력을 향상시키는 방법론을 제시합니다. 제공된 코드는 데모 목적이며 공식적으로 지원되는 Microsoft 제품이 아닙니다.

  • ⚠️ 경고: GraphRAG 색인 작업은 비용이 많이 들 수 있습니다. 프로세스와 관련 비용을 이해하기 위해 모든 문서를 읽고 작게 시작하십시오.

  • 출처: https://github.com/microsoft/graphrag

  • 상위 문서에서 추출: https://raw.githubusercontent.com/microsoft/graphrag/HEAD/README.md

문서

출처

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

Academic Paper Citation Network Mapper

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ACF Custom Fields REST Exposer

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ACF Extended for Advanced Custom Fields Workflows

An ASE skill built around ACF Extended, the WordPress enhancement suite for Advanced Custom Fields that adds field types, admin improvements, front-end forms, options pages, and developer tooling. It is a practical fit for agents working inside complex WordPress content models and custom field workflows.

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Activepieces Open Source Workflow Automation

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ActivityWatch Cross-Platform Automated Time Tracker and Producti

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act Local GitHub Actions Runner

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Add a browser review checkpoint before risky agent actions with

Use AgentClick when an agent should pause before risky commands, plans, drafts, or code changes so a human can inspect, edit, approve, or reject them in a purpose-built browser UI.

Add Claude design-system and accessibility workflows with UX/UI

Use UX/UI Agent Skills when Claude should generate tokens, component specs, accessibility audits, and framework-specific UI code from a repeatable design workflow.

Add executable smoke tests for shell scripts and CLIs before ref

Use Bats-core when an agent needs to turn fragile shell scripts or command-line workflows into something it can verify repeatedly after edits. The agent writes focused Bash tests for success paths, failure paths, and output contracts, then runs them locally or in CI before a refactor, release, or incident fix goes out.

Add graph-backed memory and context retrieval to agent workflows

Use Cognee to ingest project knowledge into graph and vector memory so agents can retrieve durable context across sessions and workflows.

Add IDE-style semantic code navigation and symbol-safe refactors

Give a coding agent symbol-aware lookup, cross-file rename, and structural edit tools before it starts making brittle text-only changes.

Add managed long-term memory to LangGraph agents with LangMem

Give LangGraph agents memory management and search tools so they can store, retrieve, and update durable facts across sessions.

Add multimodal lifelong memory to MCP and Python agents with Sim

Use SimpleMem to store, compress, index, and retrieve text or multimodal memories for agents through MCP or Python integrations.

Add persistent project memory and hook-driven synthesis with Cla

Keep Claude Code sessions grounded in prior decisions, project context, and daily handoff notes instead of starting from zero every time.

Add Postgres-native vector retrieval to agent and RAG workflows

Store embeddings beside application data in Postgres, create vector indexes, and query nearest neighbors for semantic search, RAG, recommendations, or agent memory retrieval.

Address GitHub PR review comments from the current branch with g

Find the open PR for the current branch, gather unresolved review comments, and drive a focused comment-resolution workflow with gh-authenticated context.

Add runtime guardrails to TypeScript agents with VoltAgent

Use VoltAgent to intercept, validate, and enforce input/output policies in TypeScript agent workflows.

Add temporal context memory to agent workflows with Zep

Use Zep as an external context layer for agents that need to store events, assemble temporal graph context, and retrieve relevant memory before model calls.

Adobe Firefly API Batch Image Generator

Calls Adobe Firefly

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