DaaS / Products / ML Training Pipeline with Search Serving Layer

ML Training Pipeline with Search Serving Layer

A developer building an intelligent search application configures both the ML training pipeline (PAI workspace roles and RAM policies to access RDS feature data for model training) and the search serving layer (RDS accounts for the application backend and Elasticsearch RAM permissions for search/analytics), creating a complete end-to-end architecture where PAI trains models on RDS data while the application serves search results via Elasticsearch backed by the same RDS store.

Products involved

Scenario

A developer building an intelligent search application configures both the ML training pipeline (PAI workspace roles and RAM policies to access RDS feature data for model training) and the search serving layer (RDS accounts for the application backend and Elasticsearch RAM permissions for search/analytics), creating a complete end-to-end architecture where PAI trains models on RDS data while the application serves search results via Elasticsearch backed by the same RDS store.

How the products combine

  1. pai+rds · ml-pipeline-with-pai-and-rds-data-access-f95ede — ML Pipeline with PAI and RDS Data Access

    2. See _combos/ml-pipeline-with-pai-and-rds-data-access-f95ede.

  2. ecs+oss+terraform+es+idaas+es+opensearch+oss+es+rds+es+supabase+es+rds+oceanbase+pai+rds+rds+es+rds+es+rds+oceanbase+pai+rds+rds+rds · secure-multi-service-search-platform-with-accoun-87e450 — Secure Multi-Service Search Platform with Account Management

    3. See _combos/secure-multi-service-search-platform-with-accoun-87e450.

  3. ecs+oss+terraform+es+idaas+es+opensearch+oss+es+rds+es+supabase+es+rds+oceanbase+pai+rds+rds · ml-powered-search-platform-with-identity-access--5faf13 — ML-Powered Search Platform with Identity Access Control

    4. See _combos/ml-powered-search-platform-with-identity-access--5faf13.

  4. es+rds · search-enabled-data-platform-access-setup-ab092c — Search-Enabled Data Platform Access Setup

    5. See _combos/search-enabled-data-platform-access-setup-ab092c.

Typical questions

FAQ

Q: How do I configure an intelligent search application where PAI training and Elasticsearch serving share the same RDS database? A: Configure PAI workspace roles and RAM policies for model training alongside RDS accounts and Elasticsearch RAM permissions to enable this shared architecture. This end-to-end setup allows PAI to train models directly on RDS feature data while the application serves search results via Elasticsearch backed by the same RDS store.