Automations

When building AI agents that rely on vector stores to fetch information from your own data, you might notice that the answers aren’t always accurate. The challenge often lies in how vector search handles queries. While it excels at understanding the meaning behind natural language queries, it can struggle with specific names, acronyms, codes, or … Read more

In my latest exploration of Make.com, I focused on its exciting new feature, the Model Context Protocol (MCP). This enables users to connect external agents, such as Claude Desktop, directly to their Make.com accounts. The beauty of this feature lies in its ability to let these agents discover, understand, and execute scenarios without requiring complex … Read more

I created an automation that simplifies the process of building Retrieval-Augmented Generation (RAG) systems using n8n and Supabase. This guide will walk you through each step, from understanding the basics to implementing advanced techniques, ensuring you can create a fully functional RAG system. Understanding RAG RAG combines traditional search methods with modern AI capabilities to … Read more

Creating client-branded applications doesn’t have to be complicated. In this guide, I’ll walk you through the process of building a multi-step article generation app using Lovable for the front end, Supabase for the backend, and n8n for automation—all without writing a line of code. Building client-branded applications involves several key concepts that can simplify the … Read more

In this guide, I’ll show you how to efficiently bulk add rows to Google Sheets using Make.com. This method not only streamlines your workflow but also saves on operations, making it a smart choice for handling large datasets. Introduction to Bulk Adding Rows Bulk adding rows in Google Sheets can transform your data management. Instead … Read more

OpenAI has recently introduced a groundbreaking update: the new GPT image model, now accessible via API. I created an automation that fully streamlines the process of creating infographic-style images for social media and blogs using n8n. This article will take you through the steps to set up this automation, allowing you to save time while … Read more

In this blog, I’m diving into the essential data structures of Make.com: bundles, arrays, and collections. These concepts are crucial for creating more sophisticated automation scenarios, and I aim to make them practical and easy to understand. Overview of Data Structures Understanding data structures is fundamental in automation. Within Make.com, bundles, collections, and arrays serve … Read more

I created an automation that streamlines the process of generating and scheduling social media posts from a single Airtable base. This guide will walk you through setting up a system that can either scrape content from a URL or generate it based on a topic, making your social media management more efficient than ever. Overview … Read more

In this blog, I explore the ‘Lost Context Problem’ that often plagues RAG systems and present two innovative techniques: Late Chunking and Contextual Retrieval. These methods can significantly enhance the accuracy of your retrieval systems and minimize frustrating hallucinations. The Lost Context Problem The lost context problem is a significant challenge in retrieval-augmented generation (RAG) … Read more

In this blog, I aim to simplify the concepts of iterators and aggregators within Make.com. By understanding how data flows in this platform, you’ll be able to enhance your automation processes effectively. Overview of Iterators and Aggregators Iterators and aggregators play a crucial role in handling data within Make.com. An iterator processes each item in … Read more