catalyst-quickml

Prerequisites

Before using QuickML, activate it once per project in the console:

Console → your project → QuickML (left sidebar) → click "Start Exploring"

Skipping this step prevents access to Data connectors, Pipelines, Models, Endpoints, LLM Serving, RAG, and Knowledge Base. This is a one-time activation per project.

How It Works

1. Check data-center availability first. ML models: build & publish in US, IN, EU, AU, JP, SA, CA. Generative AI (LLM Serving, RAG, Knowledge Base): US, IN, EU, JP only — not AU, SA, or CA. Zia Model Library inside the QuickML console: IN only. If the feature is regional and the user's DC is unknown, ask before confirming it is available.

2. Classify the task and load only the matching reference (load several if the query spans domains):

   • Build, train, evaluate, or call a trained ML model (classification, regression, forecasting, clustering, anomaly detection, text analytics, recommendation, AutoML) → load references/prediction-basics.md.
   • LLM chat, vision (VLM), RAG, or Knowledge Base → load references/generative-ai-basics.md.
   • Plans, rates, free tier, trial, or billing → load references/quickml-pricing-basics.md.
   • A pre-built model with no dataset or training (OCR, face analytics, image moderation, object recognition, barcode, pre-built sentiment/NER/keywords) → STOP and load the catalyst-zia skill. The standalone Zia Services APIs have their own DC rules, separate from the QuickML-console Zia Model Library.