PIKE-RAG: sPecIalized KnowledgE and Rationale Augmented Generation

OpenSSA: Small Specialist Agents based on Domain-Aware Neurosymbolic Agent (DANA) architecture for industrial problem-solving

ChatBI OEE 设备综合效率 传统仪表盘 + AI 对话分析

roadmap to applied ai

工业缺陷检测系统

WeldFusionNet: Multimodal deep learning for automated weld defect classification using sensor, audio, and video data (F1: 0.9567)

Ontology, and Knowledge graph based RAG that uses local LLM.

[CVPRW'25] Official Code For "SK-RD4AD: Skip-Connected Reverse Distillation for One-Class Anomaly Detection"

AI SDK Tutorials helps you to get familiar with AI Software Development Kit (AI SDK) through a set of end-to-end tutorials, how-to jupyter notebooks, and how-to guides.

An end-to-end deep learning system for automated PCB defect detection that combines computer vision with domain expertise. This project demonstrates the practical application of AI in industrial quality control, achieving 91.2% F1-score on multi-label defect classification.

Industrial AI Agents using LLMs

Async-first, production-grade AI agent framework with workflow, RAG, observability & multi-agent teams（Python 智能体框架）

工业知识智能问答系统

Real-time Industrial Anomaly Defect Inference Detection implemented by cpp（实时工业缺陷检测cpp）

Build an enterprise-level AI agent operating system enabling cross-departmental and cross-system intelligent collaboration.

Few-shot bearing fault diagnosis using multimodal LLMs and prototypical networks

The all-in-one, airgapped Local AI. Ypipe bundles a high-performance inference engine, specialized models, and pre-configured MCP servers into a single, self-contained Java executable. Zero-dependency orchestration for autonomous agent workflows with 100% data sovereignty. No cloud, no Python hell - just industrial-grade local intelligence.

A visual editor to convert Chemical P&IDs into Neo4j Knowledge Graphs for Industrial AI/RAG. (Build by Expert + AI)

The Compositional Agentic Architecture (CAA): A blueprint for building reliable, deterministic, and safe industrial AI agents.

Most supply chain maps are flat. We’ve built a multi-dimensional graph linking NAICS manufacturing nodes to GICS financial sectors and raw material inputs. This repo contains the dependency logic for the whole physical economy