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Add retail real-time recommendations quickstart sample#269

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sfc-gh-lambrosetti:retail-realtime-recommendations
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Add retail real-time recommendations quickstart sample#269
sfc-gh-lambrosetti wants to merge 1 commit into
Snowflake-Labs:mainfrom
sfc-gh-lambrosetti:retail-realtime-recommendations

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Summary

  • Adds companion code for the retail real-time recommendations quickstart
  • Includes Snowflake Notebook (Feature Store, XGBoost, Model Registry, SPCS deployment), FastAPI orchestrator with Snowflake Postgres integration, Postgres data loader, and cleanup SQL

Contents

  • notebooks/01_train_and_register.ipynb — Feature Store setup, model training, registry, SPCS deploy
  • orchestrator/app.py — FastAPI service with parallel Postgres data fetching
  • orchestrator/Dockerfile + requirements.txt — container build
  • load_pg.py — script to load Snowflake data into Postgres for low-latency serving
  • teardown/cleanup.sql — full teardown SQL

Related

Companion quickstart PR will be submitted to sfquickstarts.

Authors: Luke Ambrosetti, Amanda Cameron-Windsor

Companion code for the retail real-time recommendations quickstart:
- Snowflake Notebook: Feature Store, XGBoost training, Model Registry, SPCS deploy
- FastAPI orchestrator with Snowflake Postgres integration
- Postgres data loader script
- Teardown SQL

Co-authored-by: Amanda Cameron-Windsor <acameron-windsor@snowflake.com>
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