IndexFlatIP works for small corpora. For production with 100K+ vectors, you need smarter indexes. Here’s how to choose and implement them.

This is a collection of blog posts about RAG.

Outliers can significantly skew statistical analysis and machine learning model performance. This guide covers statistical and machine learning methods to detect and handle outliers effectively in Python.

Real-world datasets are messy. Outliers can hide patterns, distort models, and lead to bad decisions. In this article, we’ll walk through practical ways to detect them in Python - using plots, statistics, and machine learning, then apply it all on a real dataset.

New to APIs? This guide explains core concepts in clear language, then walks you through building a small FastAPI service with essential security and testing tips. When you’re ready for advanced patterns, read the companion: Designing Secure and Scalable APIs — A Comprehensive Guide.

APIs are the connective tissue of modern products. This guide distills proven practices for API design, security, observability, and reliability—covering the most frequent questions and edge cases teams face in production. Examples use FastAPI and Pydantic v2, but the principles generalize to any stack.

Version control is the foundation of reliable software delivery. This guide teaches Git from first principles, then layers in practical GitHub workflows used by high-performing teams. You’ll learn the mental models, the everyday commands, and the advanced tools to collaborate confidently without fear of breaking anything.

A quick, task-oriented Git reference. Pair this with the in-depth guide for concepts and best practices.

You can create a Python Code Quality CI pipeline using uv, Ruff, and ty within 5 minutes.

Picture this: You’re asking an AI about cancer treatments. It sounds super confident and gives you detailed answers. But here’s the problem — it just made up a medical study that doesn’t exist.