DATA DO – データ 道

Category: Generative AI

  • Building Production-Grade Agentic RAG: A Technical Deep Dive – Part 1

    Beyond Fixed Windows — Agentic & ML-Based Chunking Introduction: The RAG Gap The promise of Retrieval-Augmented Generation (RAG) is compelling: ground large language models in enterprise data, reduce hallucinations, enable real-time knowledge updates. But in practice, most RAG systems fail silently. They fail not because embedding models are weak or vector databases are slow, but…

  • Modernizing Data Warehouses for AI: A 4-Step Roadmap

    It’s the same conversation in every boardroom and Slack channel: “How are we using LLMs? Where are our AI agents? When do we get our Copilot?” But for the teams in the trenches, the hype is hitting a wall of legacy infrastructure. The truth is that Modernizing Data Warehouses for AI is the invisible hurdle…

  • 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…