Building AI-Ready ETL Pipelines: Embeddings, Chunking, and Vector Storage
AI systems need data structured for embeddings and vector storage. Traditional ETL stops at the database. AI-ready ETL continues to the vector store.
Essays & Insights
All Essays
Real architecture decisions, trade-offs, and lessons from production systems. Written by engineers, for engineers.
20+
Essays
5
Topics
~8 min
Avg. Read
Featured Essay
The AI Native Software Stack: How Application Architecture Is Evolving
The traditional frontend-backend-database stack is evolving. AI agents, orchestration layers, and knowledge bases are changing how applications are built.
All Essays
System Blueprints 
System Blueprints Configuration-Driven ETL: Separating Logic from Declaration
Hard-coded field mappings work until they do not. Configuration-driven ETL lets you change behavior without changing code.
System Blueprints Multi-Table ETL Pipelines: Managing Dependencies and Order
Foreign keys create dependencies. Order matters. Load tables wrong and every insert fails. Here is how to manage multi-table dependencies.
System Blueprints Event-Driven Observability: Making ETL Pipelines Debuggable
When an ETL pipeline fails at 3 AM, you need to know exactly what happened. Event-driven observability gives you that story.
System Blueprints Proven Production Data Cleaning Patterns: Avoid These Common Mistakes
Phone numbers arrive in 47 different formats. Dates come as strings or 0000-00-00. These production-tested cleaners handle edge cases that break naive implementations.
System Blueprints Iterator Patterns: Proven Guide to Avoid Memory Crashes
With thousands of records, loading everything into an array crashes your server. Iterator patterns solve this by processing one record at a time, keeping memory constant.
System Blueprints ETL Pipeline: Proven 6-Phase Pattern to Avoid Debugging Nightmares
Your ETL pipeline fails when everything is tangled together. The 6-phase pattern separates responsibilities so failures become obvious and debugging becomes easy.
AI Systems How Large Language Models Actually Work: A Visual Guide
Most explanations of LLMs either oversimplify or drown you in math. This interactive guide shows you exactly how these systems work, step by step, so you can see and feel the mechanics yourself.
System Blueprints Understanding ETL Pipelines: The Philosophy Behind Reliable Data Integration
A step-by-step guide to building ETL pipelines that actually work in production. Based on real implementations across multiple data engineering projects.
AI Systems Why AI Needs Better Memory: The Context Engineering Challenge
Every AI conversation starts from zero. Here's why that's a fundamental problem and how context engineering is changing how we build AI systems that actually remember.