The claim that you can't tag Bedrock calls is partly true and mostly misleading. Here are the four cost attribution mechanisms, when to use each, and the gateway pattern that unlocks per-user dollars in your bill.
A grounded look at what agentic AI actually accelerates in a large VMware migration, where AWS Transform earns its keep, and where a human still owns the decision.
Most RAG tutorials stop at 'put vectors in a database.' This post covers what actually determines quality: how you chunk documents, which vector search engine to pick, and how to measure and iterate on retrieval performance using Bedrock Knowledge Bases and LLM-as-judge evaluation.
Vector search, semantic search, keyword search, hybrid search — these terms get used interchangeably but they mean different things. This post breaks down what each actually does, when each matters, and why hybrid search wins for RAG.
A deep dive into the multi-agent architecture behind AWS Security Agent's automated penetration testing — from specialized agent swarms to assertion-based validation.
AWS now offers 9 different ways to store and search vectors for RAG workloads. This guide compares every option through the Well-Architected Framework to help you pick the right one.