{"schema_version":"newruntime-agent-readable-v0.2","type":"post","stable_id":"post:amazon-quick-agentic-catalog-context-boundary","slug":"amazon-quick-agentic-catalog-context-boundary","title":"Amazon Quick Makes Catalog Semantics The Agent Boundary","description":"Amazon Quick's Agentic Catalog Experience turns upstream definitions and relationships into inherited, reviewable context for grounded Q&A and deterministic dashboards.","retrieval_nugget":"Amazon Quick's Agentic Catalog Experience turns upstream definitions and relationships into inherited, reviewable context for grounded Q&A and deterministic dashboards. Natural-language analytics fails when the model receives table names without the business definitions that make those tables meaningful. Amazon Quick's Agentic Catalog Experience treats that as a semantic last-mile problem.","status":"published","published_at":"2026-08-03","updated_at":"2026-08-03","record_date":"2026-08-03","date_kind":"published_at","topics":["agents","data-engineering","developer-tools","ai-adoption"],"source_urls":["https://aws.amazon.com/blogs/machine-learning/announcing-the-agentic-catalog-experience-in-amazon-quick/"],"visuals":[{"id":"amazon-quick-agentic-catalog-context-boundary","kind":"editorial-diagram","role":"hero","src":"https://newruntime.com/images/posts/amazon-quick-agentic-catalog-context-boundary.webp","alt":"Hand-drawn data architecture where governed catalog metadata and relationships pass through a curator-defined boundary into datasets, semantic topics, grounded questions, and trusted dashboards.","caption":"Amazon Quick keeps the catalog authoritative while an agent assembles a bounded semantic layer for questions and dashboards.","credit":"New Runtime synthesis from AWS Machine Learning Blog","source_url":"https://aws.amazon.com/blogs/machine-learning/announcing-the-agentic-catalog-experience-in-amazon-quick/","generated_with":"gemini-3.1-flash-image","width":1600,"height":900,"legend":[{"label":"Catalog truth","description":"Definitions, relationships, classifications, and governance metadata stay upstream."},{"label":"Curated boundary","description":"A data curator selects the relevant tables and confirms the generated dataset and topic structure."},{"label":"Grounded use","description":"Inherited semantics support natural-language answers and deterministic dashboards."}]}],"routes":{"html":"https://newruntime.com/posts/amazon-quick-agentic-catalog-context-boundary/","markdown":"https://newruntime.com/posts/amazon-quick-agentic-catalog-context-boundary.md","json":"https://newruntime.com/posts/amazon-quick-agentic-catalog-context-boundary.json"},"source_format":"markdown","next_reads":[{"type":"topic","path":"/topics/agents/","reason":"Explore the agents topic hub.","url":"https://newruntime.com/topics/agents/","title":"Agents - New Runtime","media_type":"text/html"},{"type":"topic","path":"/topics/ai-adoption/","reason":"Explore the ai adoption topic hub.","url":"https://newruntime.com/topics/ai-adoption/","title":"AI Adoption - New Runtime","media_type":"text/html"},{"type":"related_material","path":"/posts/wrenai-governed-genbi-context-layer/","reason":"Shares agents and data engineering.","url":"https://newruntime.com/posts/wrenai-governed-genbi-context-layer/","title":"WrenAI Puts a Governed Context Layer Under Agent-Generated BI","media_type":"text/html"},{"type":"related_material","path":"/posts/bcg-agentic-field-service-operating-loop/","reason":"Shares agents and ai adoption.","url":"https://newruntime.com/posts/bcg-agentic-field-service-operating-loop/","title":"Field Service Agents Need An Operating Loop, Not A Chat Window","media_type":"text/html"},{"type":"related_material","path":"/posts/gusto-cofounder-blank-canvas-workflow/","reason":"Shares agents and ai adoption.","url":"https://newruntime.com/posts/gusto-cofounder-blank-canvas-workflow/","title":"Gusto Solves The Agent Blank Canvas With Scheduled Work","media_type":"text/html"}]}