Notes from production

Blog

Practical articles on AWS Bedrock cost optimization, knowledge graphs, AI infrastructure, and cloud architecture — from the ThinkXL team.

RAG, GraphRAG, and Knowledge Graphs: What's Actually Different

LLMs are stateless. They don't know your documents, your internal data, or what changed last week. They're only as good as what you put in front of them. This gave rise to what's now called context en

Deploying Engineering Resource Management Knowledge Graph on AWS

Resource planning in engineering orgs is a multi-hop problem. The data is there — skills, project history, availability — it's just stored in flat tables that you need to join on demand. This post wal

What Is a Knowledge Graph?

A knowledge graph stores information as entities and the relationships between them — not rows and columns, but a web of connected facts. The Idea Is Simple Three building blocks:Nodes —

Connect Claude Code to Live AWS Tools with the Agent Toolkit

AI coding agents are getting remarkably capable — but they have a blind spot. The models powering them were trained on data that's months or years old. When you ask your agent about Amazon S3 Tables,

Stretch Your Claude Code Budget with Bedrock Prompt Caching

Anthropic recently tightened usage limits on Claude Code — and if you're doing serious development work, you feel it. Long refactoring sessions, codebase-wide architecture questions, iterative debuggi

AWS Bedrock vs SageMaker: How to Pick the Right One

If you're building an AI product on AWS, you'll hit this question early: Bedrock or SageMaker? The short answer is that they solve different problems, and most startups only need one. What Each Se