Snowflake-Labs/sf-mleu-solutions
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Language: Python
License: Apache-2.0
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Created: 2026-06-18T15:35:12Z
Pushed: 2026-07-17T13:43:46Z
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README:
Snowflake MLEU Industry Solutions
MLEU: Manufacturing, Logistics, Energy and Utilities
End-to-end solution accelerators for the MLEU industry vertical, built on Snowflake and Cortex Code, showcasing Cortex AI, Snowflake ML, and the modern data platform.
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Solution Catalog
| # | Solution | Industry | Directory | Key Snowflake Features | Status | |---|----------|----------|-----------|----------------------|--------| | 1 | Predictive Maintenance | Manufacturing | solutions/predictive-maintenance/ | Snowflake Intelligence, Cortex Analyst, Semantic View, Streamlit, SPCS | ✅ Done | | 2 | Supply Chain Intelligence Platform | Manufacturing | solutions/supply-chain-intelligence/ | Snowflake Intelligence, Cortex Analyst, Cortex Search, Semantic Model, Streamlit | ✅ Done | | 3 | GNN Supply Chain Risk Intelligence | Manufacturing | solutions/gnn-supply-chain-risk/ | Graph Neural Networks, PyTorch Geometric, Cortex Agent, Cortex Analyst, SPCS GPU, Streamlit | ✅ Done |
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Quick Install (via Cortex Code)
Install any solution using the Cortex Code plugin:
# Permanent install (copies plugin to cache — survives restarts) # TBA: Public install (available after repo goes public) cortex plugin install "Snowflake-Labs/sf-mleu-solutions/plugins/cortex-code" # Or load locally during development (reads directly from disk, always up-to-date) git clone git@github.com:Snowflake-Labs/sf-mleu-solutions.git cd sf-mleu-solutions cortex --plugin-dir ./plugins/cortex-code
> Note: cortex plugin install copies the plugin into a local cache. If you add new skills later, you must cortex plugin uninstall sf-mleu-solutions && cortex plugin install ... to refresh. During development, use --plugin-dir instead — it always reads the latest files from disk without caching.
Then in a Cortex Code session, run a solution by name:
$sf-mleu-solutions:
Example:
$sf-mleu-solutions:predictive-maintenance $sf-mleu-solutions:predictive-maintenance teardown
Quick Install (via Claude Code)
# TBA: Public install (available after repo goes public) # Or load locally during development git clone git@github.com:Snowflake-Labs/sf-mleu-solutions.git cd sf-mleu-solutions claude --plugin-dir ./plugins/claude-code
Then in a Claude Code session, run a solution by name:
/sf-mleu-solutions:predictive-maintenance
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Getting Started
Each solution is self-contained in its own directory with:
solutions// ├── README.md # Overview, architecture, prerequisites ├── manifest.json # Solution metadata for the installer ├── scripts/ # SQL setup and teardown scripts └── data/ # Sample data generation scripts (if applicable)
Prerequisites
- Snowflake account (Enterprise edition recommended)
- Appropriate role with CREATE DATABASE / SCHEMA privileges
- Warehouse (default:
COMPUTE_WH)
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Related Resources
Web Pages
- Snowflake ML - Integrated set of capabilities for development, MLOps and inference leading with agentic ML
- Snowflake Notebooks - Jupyter-based notebooks in Snowflake Workspaces
- Cortex Code - Snowflake's AI native coding agent that boosts ML productivity
Technical Documentation
- Cortex Code Documentation - Getting started with Cortex Code
- Cortex Code in Snowsight - Browser-based experience
- Cortex Code CLI - Command-line experience
- Snowflake ML Documentation - Official Snowflake ML developer guide
- Snowflake ML Quickstart - Hands-on guides to get started with Snowflake ML