We’ve seen MySQL vs MariaDB fight to the death over JSON. We’ve seen Microsoft SQL Server roll up in a spaceship and embarrass everyone. And then there’s PostgreSQL… just sitting there since 2012, sipping tea, with the most mature, powerful, and actually pleasant JSON implementation of them all.
MongoDB Atlas integrates RAG seamlessly through its Vector Search feature, storing documents with embeddings, metadata, and application data in a single collection for hybrid semantic and keyword queries. This simplifies ingestion (chunking data, generating embeddings) and retrieval, feeding relevant context directly to LLMs without separate storage layers.
Here’s what real JSON support looks like when a company has been doing it seriously since 2016 and keeps improving it every quarter.
As AI agents evolve from assistants to autonomous orchestrators, a key question emerges: How will they seamlessly interface with core business systems like ERP without custom coding hurdles? What if your AI could query customer data, generate sales orders, or automate workflows in real-time, all through natural language?
Read more Microsoft Turns Business Central into the First ERP with Built-in MCP Server Support
After more than a decade of working with semi-structured data in relational databases, I’ve seen the full evolution of JSON support in MySQL and MariaDB. What started as a workaround has now become a robust, production-ready feature in both systems.
The Model Context Protocol (MCP) is an open standard developed by Anthropic that enables AI agents to securely connect with external data sources and tools. Think of MCP as a universal “plugin system” for AI
Read more Model Context Protocol (MCP) – Access For AI Agents
Securing WordPress is a topic surrounded by myths, oversimplifications, and false expectations. This article represents my personal view, based on hands-on experience with high-traffic WordPress installations, custom plugins, e-commerce environments, and real post-attack recoveries.
It isn’t a universal truth, nor the only correct approach
Elasticsearch isn’t just a search engine anymore – it’s evolved into a complete AI-ready platform. According to Elastic’s documentation, it provides native support for the entire RAG workflow
MariaDB emerged in 2009 as a fork of MySQL to maintain an independent, fully open-source database system. Over the years, it has diverged from MySQL, offering unique storage engines and flexible configuration options, making it suitable for everything from transactional systems to analytical workloads.
For years the default was simple: one big application where the backend (PHP, Java, .NET, Ruby…) generated full HTML pages on the server and sent them to the browser. It was fast to build, easy to deploy, and worked perfectly… until it stopped working.
So you’ve built some cool functionality in Business Central, but how do you make sure it keeps working as you add more features? That’s where testing comes in. Let me walk you through the basics with some real examples that actually work. If you are building a production extension (not a test extension) and you…
This platform changes everything by providing a powerful yet accessible platform that democratizes backend development. Let’s explore what makes Xano a game-changer.
