PIKE-RAG: sPecIalized KnowledgE and Rationale Augmented Generation
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Updated
Sep 10, 2025 - Python
PIKE-RAG: sPecIalized KnowledgE and Rationale Augmented Generation
OpenSSA: Small Specialist Agents based on Domain-Aware Neurosymbolic Agent (DANA) architecture for industrial problem-solving
传统仪表盘 + AI 对话分析,智能对话式的OEE可视化分析平台
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.
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.
[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.
Industrial AI Agents using LLMs
Bearing RUL prediction for PHM using meta-learning and vibration data.
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
UNS-native, cybersecurity-aware multi-agent reference architecture for U.S. small-to-mid manufacturers. Industrial agentic intelligence aligned with ISA-95, NIST AI RMF, and CMMC L2.
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)
Async-first, production-grade AI agent framework with workflow, RAG, observability & multi-agent teams(Python 智能体框架)
Real-time Industrial Anomaly Defect Inference Detection implemented by cpp(实时工业缺陷检测cpp)
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