Popular GitHub Repositories for Graph Rag

Neo4j graph construction from unstructured data using LLMs

Medical Graph RAG: Graph RAG for the Medical Data

Connect your AI app directly to your data with a full stack solution. Fully connected Agentic Graph RAG pipelines mean you can focus on fine tuning your app and not building data infrastructure.

《动手学SpringAI》包含SSE流/Agent智能体/知识图谱RAG/FunctionCall/历史消息/图片生成/图片理解/Embedding/VectorDatabase/RAG

"Hyper-RAG: Combating LLM Hallucinations using Hypergraph-Driven Retrieval-Augmented Generation" by Yifan Feng, Hao Hu, Xingliang Hou, Shiquan Liu, Shihui Ying, Shaoyi Du, Han Hu, and Yue Gao.

Active WIP for experimenting with GraphRAG and Knowledge Graphs

Demo of knowledge graph creation and Graph RAG with BAML and Kuzu

Graph RAG workshop using Kùzu and LanceDB for hybrid RAG

A hybrid retrieval system for RAG that combines vector search and graph search, integrating unstructured and structured data. It retrieves context using embeddings and a knowledge graph, then passes it to an LLM for generating accurate responses.

[WWW 2025] Paths-over-Graph: Knowledge Graph Empowered Large Language Model Reasoning

An intelligent system that revolutionizes contract management using AI, graph databases, and DocuSign integration. Transform dense legal documents into actionable insights with automated analysis, real-time tracking, and a smart chatbot interface. Built with OpenAI, Neo4j, and FastAPI.

A graph machine learning enabled engine (GML-Enabled)

UltraRepo Graph RAG provides AI agents access to massive code, doc, and data repos via Knowledge Graphs (KG). KGs are generated in Neo4j and accessible via FastAPI and vector DBs. Provides AI agents with better accuracy, scalability, and reasoning over large repos.

Web app for video summarization and Q&A using Graph RAG.

Wikit RAG Arena

使用Neo4j构建知识图谱，并利用RoBERTa提取实体。

A framework to enable retrieval augmented generation (RAG) with knowledge graphs for chat applications.

Master-Thesis project to extract named entities, resolved coreferences and topics of news article sentences to be stored in neo4j Knowledge Graph. Enriched with data from Wikidata, DPPedia data. Graph can be queried by OpenAI chat bot.

Theory as well implementation of various type of rag structures

Microsoft Graph RAG 服务器：索引、查询以及本地版本等