https://blog.kodigy.com/tags/data/ Recent content in data on A system brought to life Hugo -- gohugo.io en-us © Vladimir Sibirov. Code released under the MIT license. Sun, 04 Jan 2026 00:00:00 +0000 https://blog.kodigy.com/post/actor-mesh-architecture/ Sun, 04 Jan 2026 00:00:00 +0000 https://blog.kodigy.com/post/actor-mesh-architecture/ Introduction Building intelligent systems at scale is tricky. On the surface, modern AI gives us powerful components (LLMs, Transformers, ML) ready to integrate into our applications. Yet assembling these pieces into a coherent, resilient, and cost-effective whole remains a tough challenge, especially as systems grow beyond simple request-response patterns. This article presents a comprehensive approach to this problem through the Actor Mesh pattern: a distributed architecture that organizes AI models, machine learning pipelines, and conventional business logic as a network of autonomous, asynchronous actors. https://blog.kodigy.com/post/visual-ai-engineering-with-pyflyde-pt2-rag/ Sun, 03 Aug 2025 00:00:00 +0000 https://blog.kodigy.com/post/visual-ai-engineering-with-pyflyde-pt2-rag/ Introduction and recap of Part 1 Welcome back to our journey into Visual AI Engineering with PyFlyde! In this second part of our tutorial, we’ll dive deeper into the fascinating world of AI and data engineering, combining modern tools and libraries with the intuitive power of visual programming. In Part 1 of this tutorial, we embarked on an exciting journey to build a flexible data extraction flow. We successfully created a web scraper that fetches articles from the Software Leads Weekly newsletter, cleans them up, and saves them as local Markdown files. https://blog.kodigy.com/post/visual-ai-engineering-with-pyflyde-pt1-scraper/ Sat, 02 Aug 2025 00:00:00 +0000 https://blog.kodigy.com/post/visual-ai-engineering-with-pyflyde-pt1-scraper/ Introduction Building data pipelines often involves integrating multiple tools and services into complex workflows. While traditional programming approaches are effective, visual tools can offer a more intuitive and streamlined way to design and manage these workflows. In this tutorial, we will explore how to use Flyde, a visual programming tool, to construct a web scraper that feeds into a Retrieval Augmentation Generation (RAG) system. This tutorial aims to go beyond basic examples to demonstrate a more complex application, providing insights into the advantages and trade-offs of visual programming.