Tag: PydanticAI
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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…
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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…