# graph-rag-agent | GLK | Knowledge Base | Instagit 拼好RAG：手搓并融合了GraphRAG、LightRAG、Neo4j-llm-graph-builder进行知识图谱构建以及搜索；整合DeepSearch技术实现私域RAG的推理；自制针对GraphRAG的评估框架| Integrate GraphRAG, LightRAG, and Neo4j-llm-graph-builder for knowledge graph construction and search. Combine DeepSearch for private RAG reasoning. Create a custom evaluation framework for GraphRAG. GitHub Stars: 1.9k Repository: https://github.com/1517005260/graph-rag-agent --- ## Articles ### [Performance Tuning Options for GraphRAG Agent: Complete Configuration Guide](/1517005260/graph-rag-agent/performance-tuning-options-for-graphrag-agent) Discover GraphRAG Agent performance tuning options. Optimize throughput, latency, and resources via env vars for concurrency, batching, GDS settings, and caching. - Tags: performance - Published: 2026-02-23 ### [How the Incremental Update Mechanism for Knowledge Graphs Works in graph-rag-agent](/1517005260/graph-rag-agent/how-incremental-update-mechanism-for-knowledge-graphs-works) Learn how the incremental update mechanism for knowledge graphs in graph-rag-agent efficiently detects and applies changes to your Neo4j graph without full rebuilds. - Tags: internals - Published: 2026-02-23 ### [How to Configure the GraphRAG Agent System: Complete Setup Guide](/1517005260/graph-rag-agent/how-to-configure-graphrag-agent-system) Configure the GraphRAG Agent system easily. Follow this setup guide to clone the repo, install dependencies, set up Neo4j and LLM credentials, and run the application. - Tags: how-to-guide - Published: 2026-02-23 ### [How to Start the Streamlit Frontend UI for Graph-RAG Agent](/1517005260/graph-rag-agent/how-to-start-streamlit-frontend-ui) Start the Streamlit frontend UI for your Graph-RAG Agent by running streamlit run frontend/app.py from the repository root. Access the web interface at http://localhost:8501. - Tags: how-to-guide - Published: 2026-02-23 ### [How to Start the FastAPI Backend Service for the Graph-RAG Agent](/1517005260/graph-rag-agent/how-to-start-fastapi-backend-service) Start your FastAPI backend service for the Graph-RAG Agent by running uvicorn server main app --reload. Get your project running quickly and efficiently. - Tags: how-to-guide - Published: 2026-02-23 ### [GraphRAG Agent Deployment: Complete Steps to Deploy the Services Locally or with Docker](/1517005260/graph-rag-agent/deployment-steps-for-graphrag-agent-services) Deploy the GraphRAG Agent locally or with Docker. Follow our complete guide to clone the repo install dependencies configure environment variables and launch backend and frontend services. - Tags: how-to-guide - Published: 2026-02-23 ### [How Caching is Implemented in GraphRAG Agent for Performance Optimization](/1517005260/graph-rag-agent/how-caching-is-implemented-graphrag-agent-performance-optimization) Discover how GraphRAG Agent optimizes performance with a dual-layer caching strategy, reducing LLM calls and transformer downloads for faster results. - Tags: performance - Published: 2026-02-23 ### [The Role of Community Detection in GraphRAG Agent: Architecture and Implementation](/1517005260/graph-rag-agent/role-of-community-detection-in-graphrag-agent) Discover how community detection in GraphRAG Agent clusters knowledge graphs for faster retrieval and richer context. Learn about its architecture and implementation. - Tags: architecture - Published: 2026-02-23 ### [How Deep Research Search Mode Functions in GraphRAG Agent](/1517005260/graph-rag-agent/how-deep-research-search-mode-functions) Understand how the deep research search mode in GraphRAG Agent works. Explore its iterative think-search-reason loop for complex query answers using vector retrieval and Neo4j graph traversal. - Tags: deep-dive - Published: 2026-02-23 ### [What Is Hybrid Search in GraphRAG Agent: A Complete Technical Guide](/1517005260/graph-rag-agent/what-is-hybrid-search-in-graphrag-agent) Explore hybrid search in GraphRAG Agent, a powerful retrieval strategy combining Cypher and vector similarity for detailed entity retrieval and broad contextual understanding. Learn how it works. - Tags: deep-dive - Published: 2026-02-23 ### [How Local Search Works in the GraphRAG Agent: Neo4j Vector Search and LLM Integration](/1517005260/graph-rag-agent/how-local-search-works-in-graphrag-agent) Discover how local search in the GraphRAG Agent leverages Neo4j vector search and LLM integration with LangChain to retrieve and synthesize context from knowledge graphs for precise answers. - Tags: deep-dive - Published: 2026-02-23 ### [GraphRAG Agent Search Strategies: 8 Methods for Knowledge Graph Retrieval](/1517005260/graph-rag-agent/different-search-strategies-implemented-graphrag-agent) Explore 8 GraphRAG Agent search strategies including Local, Global, Hybrid, and Deep Research for efficient knowledge graph retrieval. Optimize your agent's knowledge access. - Tags: deep-dive - Published: 2026-02-22 ### [How the Text Chunking Mechanism Works in GraphRAG Agent: A Deep Dive into ChineseTextChunker](/1517005260/graph-rag-agent/how-text-chunking-mechanism-works-graphrag-agent) Explore the text chunking mechanism in GraphRAG Agent. Learn how ChineseTextChunker splits documents into sentence-aware token chunks using a sliding-window algorithm and HanLP. - Tags: deep-dive - Published: 2026-02-22 ### [Supported Document Formats for Knowledge Graph Building in Graph-RAG Agent](/1517005260/graph-rag-agent/supported-document-formats-for-knowledge-graph-building) Build knowledge graphs with Graph-RAG agent using .txt, .pdf, .md, .docx, .doc, .csv, .json, .yaml, and .yml formats. Discover supported document types for efficient graph construction. - Tags: tutorial - Published: 2026-02-22 ### [How Entity Extraction Works for Knowledge Graph Construction in Graph-RAG Agent](/1517005260/graph-rag-agent/how-entity-extraction-works-for-knowledge-graph-construction) Learn how entity extraction powers knowledge graph construction in Graph-RAG agents. Discover LLM-driven parsing, deterministic caching, and parallel processing for scalable knowledge graphs. - Tags: deep-dive - Published: 2026-02-22 ### [Types of Agents Available in GraphRAG Agent: A Complete Guide to RAG Strategies](/1517005260/graph-rag-agent/types-of-agents-available-graphrag-agent) Explore the six agent types in GraphRAG Agent: Naïve RAG, Hybrid, Graph, Fusion, Deep Research, and Multi-Agent Framework. Discover optimal RAG strategies for your needs. - Tags: tutorial - Published: 2026-02-22 ### [How Knowledge Graphs Are Built in the Graph‑RAG‑Agent Project](/1517005260/graph-rag-agent/how-knowledge-graph-is-built-in-graphrag-agent) Discover how graph-rag-agent builds knowledge graphs by parsing messages, querying Neo4j, and creating dynamic graphs for LLM reasoning. Learn about entity ID extraction and subgraph materialization. - Tags: how-to-guide - Published: 2026-02-22 ### [Understanding the Plan-Execute-Report Pattern in FusionGraphRAGAgent](/1517005260/graph-rag-agent/plan-execute-report-pattern-fusiongraphragagent) Explore the Plan-Execute-Report pattern in FusionGraphRAGAgent. Learn how this workflow orchestrates planning, execution, and reporting for efficient query resolution. - Tags: deep-dive - Published: 2026-02-22 ### [How Multi-Agent Collaboration Works in GraphRAG Agent: Orchestration, Planning, and Execution](/1517005260/graph-rag-agent/how-multi-agent-collaboration-works-graphrag-agent) Discover how multi-agent collaboration in GraphRAG Agent orchestrates planning execution and reporting. Learn how specialized agents work together via a three-stage pipeline to transform queries into actionable plans and reports. - Tags: deep-dive - Published: 2026-02-22 ### [What Is the Role of Neo4j in the GraphRAG Agent Project?](/1517005260/graph-rag-agent/role-of-neo4j-in-graphrag-agent-project) Discover how Neo4j powers the GraphRAG Agent project by acting as its graph database and vector store for knowledge graph construction, hybrid search, and more. - Tags: how-to-guide - Published: 2026-02-22 ### [Core Components of the GraphRAG Agent System: A Complete Technical Architecture](/1517005260/graph-rag-agent/core-components-of-graphrag-agent-system) Explore the core components of the GraphRAG Agent system. Understand its six modular domains for end-to-end knowledge graph construction and RAG. - Tags: architecture - Published: 2026-02-22 ### [How to Set Up the GraphRAG Agent Project: Complete Installation Guide](/1517005260/graph-rag-agent/how-to-set-up-graphrag-agent-project) Learn how to set up the GraphRAG Agent project with our complete installation guide. Follow simple steps to clone, configure, and launch your knowledge graph application. - Tags: getting-started - Published: 2026-02-22