AI INTEGRATION
LLM-Based Error Diagnosis using Shape
Last Updated: November 5, 2026Discover how to integrate MQTT, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) using Tactigon Shape, a visual no-code programming environment for Industrial IoT applications. In this practical example, we will build an AI-powered industrial diagnostic workflow that automatically detects sensor errors, retrieves troubleshooting information from technical datasheets, and publishes structured diagnostic responses through MQTT. By combining MQTT communication, LLM-based reasoning, and RAG-powered document retrieval, Tactigon Shape makes it possible to automate sensor troubleshooting and simplify industrial IoT integration without...
Use CHORDS with Tactigon SHAPE
Last Updated: November 5, 2026Connect SHAPE to CHORDS and build a document-summary workflow. Upload a file, prepare it with RAG, display the response and stop the Shape.
Use Ollama with Tactigon SHAPE
Last Updated: November 5, 2026Connect Tactigon SHAPE to Ollama and use visual blocks to send prompts and receive responses from a locally running AI model.