Category: Generative AI
-
Designing Production-Grade GenAI Automation
A dbt Ops Agent Case Study A small, well-instrumented workflow can turn dbt failures into reviewable Git changes by combining deterministic parsing, constrained LLM tooling, and VCS-native delivery — while preserving governance through traces, guardrails, and CI. This is a blueprint to build a first Production-Grade GenAI Agent. You can find the complete implementation and…
-
AI Agent Workflows: Pydantic AI
Building Intelligent Multi-Agent Systems with Pydantic AI In the rapidly evolving landscape of artificial intelligence, multi-agent systems have emerged as a powerful paradigm for tackling complex, domain-specific challenges. Today, I’ll walk you through a sophisticated AI agent workflow that demonstrates how multiple specialized agents can collaborate to process, analyze, and generate insights from research literature…
-
The Ultimate Vector Database Showdown: A Performance and Cost Deep Dive on AWS
In the age of AI, Retrieval-Augmented Generation (RAG) is king. The engine powering this revolution? The vector database. Choosing the right one is critical for building responsive, accurate, and cost-effective AI applications. But with a growing number of options, which one truly delivers? To answer this, we put five popular AWS-hosted vector database solutions to…