graphrag

[EMNLP2025] LLM-KG4QA: Large Language Models and Knowledge Graphs for Question Answering

Deep Research through Multi-Agents, using GraphRAG

Most AI agents forget you the moment the tab closes. Constellation Engine gives them a hippocampus — a living star map with spreading activation, Hebbian writeback, episodic recall, and post-turn consolidation. Local-first, model-agnostic, AGPL.

面向建筑行业知识工作从业者与 AI 研发团队的 Skills、Workflow 与多 Agent 工具包 / Building-industry AI agent skills for BIM, IFC, RAG, GraphRAG, project evidence work, code review, and runtime governance.

Framework for RAG over Excalidraw canvas data

⊛ Consciousness Architecture. Change the word. Change the world. ⊛

AI-driven code analysis & automated README generator using GraphRAG and AST parsing.

In this project, I explored how to extract knowledge graphs from text using LLMs, such as OpenAI GPT4o.

Universal agentic engineering layer for Google Antigravity. Features autonomous multi-agent orchestration, epistemic grounding, 9 strict verification gates, AST blast radius analysis, and target project adaptation.

A self-hosted enterprise search engine that ingests any file type, retrieves with true hybrid search, links everything in a rich knowledge graph, and answers questions locally with verifiable citations — all offline, zero API cost.

An open-source, bilingual (Persian & English), interactive interview preparation platform designed for modern AI Engineers, LLM & RAG Developers, and MLOps Practitioners.

MCP stdio bridge for AI clients that only speak stdio — query financial statements, explore graph structures, resolve XBRL elements, and build fact grids over RoboSystems. In maintenance mode: every graph now serves a hosted remote MCP endpoint needing no install, and this package proxies to it by default.

Local-first memory, hybrid RAG, and agent personalization for AI coding agents. MCP + CLI for OpenCode, Claude Code, Codex, Gemini CLI, Antigravity, and Jules.

An autonomous multi-agent DevSecOps pipeline that utilizes GraphRAG to detect vulnerabilities, map technical debt, and deploy surgical code patches directly via GitHub Pull Requests.

Personal Knowledge Base & Technical Research Hub by Ahmed BARGADY (AI Engineer & PhD Student @ UM6P). Comprehensive mathematical derivations, PyTorch/DGL code implementations, APT threat detection syntheses (GNNs & Provenance Graphs), and Agentic GraphRAG system architectures.

Recruiting search on a single AI-native engine: semantic candidate matching, referral-graph traversal and outreach generation in one SynapCores CE instance. Zero dependencies.

🧠 Graph-based RAG system that transforms unstructured data into knowledge graphs for deeper reasoning and contextual AI responses. Combines LLMs, graph traversal & semantic search to enable multi-hop question answering and structured insights.

readwise obsidian integration and a minimal chat UI

神农AI —— 基于 Neo4j AuraDB 云图数据库与 GraphRAG 的中医药智能知识平台，收录 300+ 味常用药材，提供知识图谱可视化、药材管理、拍照识药、方剂推荐与十八反十九畏配伍检测，实现可溯源RAG智能问答。

A curated list of tools and resources for building, managing, and using graphs in real-world projects.