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
Ontology, and Knowledge graph based RAG that uses local LLM.
WeldFusionNet: Multimodal deep learning for automated weld defect classification using sensor, audio, and video data (F1: 0.9567)
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.
[CVPRW'25] Official Code For "SK-RD4AD: Skip-Connected Reverse Distillation for One-Class Anomaly Detection"
Industrial AI Agents using LLMs
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.
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)
Build an enterprise-level AI agent operating system enabling cross-departmental and cross-system intelligent collaboration.
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.
Few-shot bearing fault diagnosis using multimodal LLMs and prototypical networks
Zero and few-shot industrial image anomaly detection framework comparing AnomalyDINO & MuSc models across MVTec AD, BTAD, and ViSA datasets with MLflow tracking and flexible configuration.
This article presents a reference architecture to enhance the compatibility of Siemens Industrial Artificial Intelligence (Industrial AI) products with Microsoft Azure.
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