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In the world of industrial IT, where technical documentation grows faster than peak-season production, finding specific information becomes a challenge. That’s why we decided to combine two powerful tools: LangChain and Outline, creating a smart documentation assistant that understands user queries and responds based on the current knowledge base.

The use of Web3 and blockchain technology in managing industrial data and promoting renewable energy sources (RES). This article discusses energy consumption monitoring, automated settlements, energy tokenization, and peer-to-peer trading, emphasizing the benefits of using Web3 in the industry.

A comparison of InfluxDB and MongoDB for industrial data collection. This article discusses the use of InfluxDB for time-series data analysis, machine monitoring, and IoT, as well as MongoDB as a universal database for MES systems. Practical tips on when to choose each database.

Comparison of PyTorch, TensorFlow, XGBoost, LightGBM, and CatBoost in industrial data analysis. The article discusses the use of PyTorch in machine failure prediction, time series data analysis, and compares it with other tools in terms of flexibility, performance, and applications.

An overview of two approaches for collecting industrial machine data: implementing an MES system such as OMNIMES by Multiprojekt, and using public datasets from platforms like Statista and Kaggle. Practical solutions for building predictive maintenance models.

Comparison of TensorFlow, XGBoost, LightGBM, and CatBoost algorithms in fault detection in MES systems. Practical applications, time-series and tabular data analysis, and performance evaluation in terms of speed and computational resources.

Practical application of XGBoost, LightGBM, and CatBoost algorithms in MES systems for fault detection. A description of data analysis methods, machine state classification (production, failure, planned, and unplanned downtime), and real-time notifications implementation to minimize downtime.

The Ollama project is an open, free software that allows running local AI models, specifically large language models (LLMs), on your own computer or server. Due to its low hardware requirements, this software is accessible to medium and small businesses, providing access to 93 AI models without significant limitations.

In today's world, the rapid development of technology and increasing market demands make efficient production management crucial for a company's success. Systems like Omnimes offer advanced tools for process optimization, including data visualization, which supports analysis and decision-making.

Learn how to integrate the GPT-4 API with a web application step by step to leverage advanced data analysis features. Example in Python and Flask, along with settings and data security.

Comparison of Sparkplug B and OPC UA Communication Protocols in the Context of Industrial Internet of Things (IIoT) Learn about their architectures, data formats, security, and applications. Discover which protocol better meets the requirements of your industrial automation project.

Comparison of MQTT and Sparkplug B Communication Protocols in the Context of Industrial Internet of Things (IIoT). Learn about their advantages, differences, quality of service (QoS), and message retention. Discover which protocol better meets the requirements of your IoT project.