Embedding Models and Vector Databases: A Deep Dive into a16z Emerging LLM App Stack

Exploring some emerging toolings that enable developers to build and deploy LLM-based applications In this series, we’re exploring different technologies that make…

AI Agents Explained: What They Are and How They Work

If 2023 was the year of chatbots and 2024 was the year of multimodal, 2025 and 2026 belong to AI agents. The…

Prompt Engineering Guide: How to Write Better AI Prompts in 2026

Prompt engineering has evolved significantly. The early days of “please write a blog post” have given way to a more structured, systematic…

What Is a Vector Database? A Plain-English Guide

If you’ve used ChatGPT, you’ve probably noticed it can answer questions about current events, your documents, or specific data that wasn’t in…

RAG Explained: What Retrieval-Augmented Generation Actually Is (And How to Build It)

I spent the last three months building RAG systems. Here’s what I wish someone had told me from day one. The One-Sentence…

I Fine-Tuned an LLM on My Own Data — Here’s Exactly What Happened

I spent two weeks fine-tuning a language model on my personal notes and documentation. This is the honest story of what worked,…

I Ran AI Models Locally for a Month — Here’s What I Learned

I uninstalled ChatGPT and Claude from my phone for 30 days and ran everything through local AI models instead. This is what…

RAG Explained: How AI Gets Its Facts Straight

One of the biggest criticisms of AI chatbots is that they make things up. Retrieval-Augmented Generation — RAG — is the technique…

RAG