Memory for AI Agents in 5 lines of code

Neo4j graph construction from unstructured data using LLMs

A Graph RAG System for Evidenced-based Medical Information Retrieval

《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.

VeritasGraph: Enterprise-Grade Graph RAG for Secure, On-Premise AI with Verifiable Attribution

Active WIP for experimenting with GraphRAG and Knowledge Graphs

A minimal implementation of GraphRAG, designed to quickly prototype whether you're able to get good sense-making out of a large dataset with creation of a knowledge graph.

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.

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

This is the repo for the journal paper GISphere Knowledge Graph for Geography Education: Recommending Graduate Geographic Information System/Science Programs

🚀 HAG: Next-Gen AI | Neo4j + Weaviate Fusion | Dual-Similarity Retrieval | 100% Local & Private | Graph Intelligence Meets Vector Search

Experiments and benchmarks with Text2Cypher for Graph RAG

A graph machine learning enabled engine (GML-Enabled)

Too Long, Didn't Read, Let's Chat

🥷The JedAi Council: Build powerful AI agents with CrewAI, Graphiti Graph RAG, LlamaIndex, and modern uv package management 🚀

🎯 Autonomous Transaction Monitoring & Fraud Response System (Private, Multi-Agent/Modal, MCP/A2A Compliant)

Advanced AI assistant combining RAG + Knowledge Graph with multi-agent system, persistent memory, and hybrid retrieval. Features CrewAI coordination, Neo4j integration, and dual interfaces for intelligent conversational AI.

Microsoft Graph-RAG Indexing and Quering