A Haystack pipeline can be perfectly wired and still unsafe. The retriever returns documents. Every component did its job. But if untrusted text moved through the pipeline as ordinary context, the trust boundary was lost. That is the problem this post is about. Not bad Python. A valid component connection only says: this value fits the next component It does not say: this value is safe to influen
L'IA vocale en gestion de chantier : retour d'expérience après 50 projets BTP Le problème : les mains pleines, le temps compté Sur un chantier, le chef de projet ou l'artisan a les mains occupées. Qu'il soit en train de mesurer une façade, de vérifier l'aplomb d'une cloison ou de valider du béton fraîchement coulé, la dernière chose dont il a besoin est de sortir son téléphone pour re
Voice AI for Jobsite Estimating: A Developer Perspective Building estimators spend hours hunched over spreadsheets, struggling with poor handwriting on site photos, and entering the same data twice (once on paper, once in the office). This workflow is broken. Voice AI changes everything—and it's simpler to implement than most developers think. In this article, I'll walk you through the real-worl
Voice AI for Jobsite Estimating: A Developer Perspective The construction industry has historically lagged behind in digital adoption. Yet today, one of the most transformative shifts happening on job sites isn't coming from enterprise software vendors—it's coming from applied AI at the edge. Voice-based estimating is reshaping how builders create quotes, manage materials, and streamline workflo
Comparison: Haystack 2.0 vs. RAGatouille 0.3 for Building High-Accuracy RAG Pipelines for Developer Docs Retrieval-Augmented Generation (RAG) has become the standard for building LLM-powered tools that answer questions using private or domain-specific data. For developer documentation (dev docs) — which includes technical jargon, versioned APIs, code snippets, and structured reference material —