Where Innovation Meets Automation
What is RAG, in one sentence? A way to make an LLM answer questions using documents it was never trained on. It searches those documents for relevant passages, then hands the model the results as context before generating a response…. Read moreWhat Is RAG? Retrieval-Augmented Generation Explained
What is an LLM, in one sentence? A model that has one job: given the text so far, predict the next token, append it, and repeat. That’s it. Everything else — chat interfaces, coding assistants, agents that call tools —… Read moreWhat Is an LLM? A Working Model for Engineers
The official MCP registry is the closest thing the Model Context Protocol has to an app store. So we pulled every entry from its API and counted what’s actually in there. The short version: 30,375 servers as of September 10,… Read moreThe MCP Registry, By the Numbers
The best MCP servers in 2026 aren’t just the ones with the most GitHub stars. With the 2026-07-28 spec update — final and current since late July — making OAuth 2.1 mandatory for every remote MCP server, “best” now also… Read moreBest MCP Servers in 2026: One Pick Per Category
MCP server authentication stopped being optional a month ago. The Model Context Protocol’s largest spec revision since launch finalized on schedule on July 28, 2026 and is now the current protocol version. It turns every remote MCP server into a… Read moreMCP Server Authentication: What the 2026-07-28 Spec Broke
Someone asks “what’s the best Ollama model” in a Discord or a Reddit thread almost every day. The answer usually comes from memory, or a single favorite. So we pulled the actual data instead. Every model in the Ollama model… Read moreOllama Model Library, By the Numbers
Every Ollama install runs a local HTTP server on port 11434, and that server is the real interface to the models. The ollama run command is a thin client on top of it. Once you know the two main endpoints,… Read moreOllama API: A Practical Guide with Examples
Ollama runs a model by loading its weights into memory. So the size of the model file is the number that decides what hardware you need. For example, a 4-bit 8B model is about 5 GB on disk. It needs… Read moreOllama Hardware Requirements: RAM, VRAM and GPU
Ollama vs LM Studio is a choice most people run into within a week of trying local models. Both tools run open-weight language models on your own machine, pull from the same pool of GGUF model files, and expose an… Read moreOllama vs LM Studio: Which One Should You Use
Docker Desktop is free until your company crosses 250 employees or $10 million in annual revenue — then every developer running it owes a paid subscription, and at the Business tier that is $288 per seat per year with no… Read moreDocker Desktop Licensing Cost: Pay or Switch?