Add Quickstart: Build an AI Matching App with Snowflake ML#3075
Add Quickstart: Build an AI Matching App with Snowflake ML#3075sfc-gh-abannerjee wants to merge 24 commits intoSnowflake-Labs:masterfrom
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10-step guide covering Dynamic Tables, Feature Store, Model Registry, SPCS real-time inference, Cortex Search, and Streamlit dashboard. Guide ID: build-an-ai-matching-app-with-snowflake-ml Co-Authored-By: Cortex Code <noreply@snowflake.com>
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…s template - Move title to after frontmatter with # prefix (template pattern) - Add missing What You Will Need subsection in Overview - Separate Prerequisites (knowledge) from What You Will Need (tools) - Fixes wrong title rendering in staging preview (PR Snowflake-Labs#3075) Co-Authored-By: Cortex Code <noreply@snowflake.com>
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The AEM-based sfquickstarts renderer does not consume Duration: metadata lines (a Google Codelabs artifact). They were rendering as literal body text in the staging preview. Removed all 12 occurrences to match the official sfquickstarts template format. Co-Authored-By: Cortex Code <noreply@snowflake.com>
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- Update page count from 5 to 6 throughout (summary, overview, dashboard section) - Add Page 6 description: Model Monitor status, PSI drift, prediction volume, version comparison - Add Model Monitoring to tags, summary frontmatter, conclusion, and What You Learned - Add Model Monitoring docs link to Related Resources Co-Authored-By: Cortex Code <noreply@snowflake.com>
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- Replace broken WITH MV AS MODEL syntax with direct !PREDICT invocation - Replace mv.run() batch inference with SQL-based pattern (avoids cartesian product bug when CREATOR_ID is not in model output) - Update CDP tier thresholds to match V1 model: >=0.50 PREMIUM, >=0.30 STANDARD (was >=0.7/>=0.2) - Update expected tier distribution: ~18/25/57% (was ~12/41/48%) - Fix notebook filename: creator_brand_match.py (was snowflake_ml_demo.py) .... Generated with [Cortex Code](https://docs.snowflake.com/en/user-guide/cortex-code/cortex-code) Co-Authored-By: Cortex Code <noreply@snowflake.com>
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…mpanion repo refs - Copy 7 source files from commercial_ML into assets/ subfolder - Add assets/README.md with sparse clone instructions - Update fork repo link to point to assets folder (Iceberg V3 pattern) - Remove Git prerequisite (no longer needed) - Replace git clone with sparse checkout + direct download links - Add GitHub blob links for setup SQL and data generator - Fix predict_ranked: remove stale top_k kwarg, use reset_index(drop=True) - Update Streamlit section to reference assets folder with direct links Co-Authored-By: Cortex Code <noreply@snowflake.com>
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👋 Helpful Information💡 Non-Image Files in Assets FolderNon-image files found in /assets folders will NOT be uploaded to snowflake.com. If you are referencing them in your guide, you should link to them directly (e.g. using permanent GitHub links).
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- Fix conda env name: snowflake-ml-demo → creator_brand_match (matches environment.yml) - Add xgboost import to CustomModel code block (was missing, needed for xgb.DMatrix) - Add type annotations to predict_match_score and predict_with_features (match notebook) - Match predict_with_features body to notebook: separate booster variable, no inline import Co-Authored-By: Cortex Code <noreply@snowflake.com>
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Sync remaining 7 divergences between guide and notebook source of truth: - Entity/FeatureView descriptions match notebook exactly - Add attach_feature_desc() call with 6 column descriptions - Replace simplified XGBClassifier with GridSearchCV + baseline - Add try/except to log_model + version alias setting - Fix Cortex Search: lowercase columns, add creator_id attr, TARGET_LAG='1 day', add EMBEDDING_MODEL - Fix Cortex Search Python SDK: match notebook query/columns/iteration - Replace CDP enrichment with notebook two-step approach (MATCH_PREDICTIONS + CREATOR_PROFILES with interaction_stats CTE) - Fix SPCS max_instances=3 .... Generated with [Cortex Code](https://docs.snowflake.com/en/user-guide/cortex-code/cortex-code) Co-Authored-By: Cortex Code <noreply@snowflake.com>
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👋 Helpful Information💡 Non-Image Files in Assets FolderNon-image files found in /assets folders will NOT be uploaded to snowflake.com. If you are referencing them in your guide, you should link to them directly (e.g. using permanent GitHub links).
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…yout engine Switch architecture diagram generator from custom A* pathfinding (909 lines) to ELK/elkjs compound-graph layout (665 lines). ELK handles orthogonal edge routing, crossing minimization, and hierarchical group containment natively. Post-layout vertical alignment with smart edge route reconstruction keeps RAW Events aligned with the main pipeline row. .... Generated with [Cortex Code](https://docs.snowflake.com/en/user-guide/cortex-code/cortex-code) Co-Authored-By: Cortex Code <noreply@snowflake.com>
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…acing Fixes two edge routing issues: (1) RAW Events→Cortex Search dashed edge no longer crosses intermediate nodes — long-span edges are now routed below all groups via a 4-bend-point path. (2) Increased ELK spacing parameters (edgeNode: 35, edgeNodeBetweenLayers: 40) for better edge-to-boundary clearance on batch score and SPCS/Monitor edges. .... Generated with [Cortex Code](https://docs.snowflake.com/en/user-guide/cortex-code/cortex-code) Co-Authored-By: Cortex Code <noreply@snowflake.com>
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…ssets The ELK-based diagram generator is a development tool, not customer content. Moved to SnowGram project (backend/elk_diagram/). The output PNG stays. Co-Authored-By: Cortex Code <noreply@snowflake.com>
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… routing Fixes e9 crossing CDP Profiles icon, ensures all edges are strictly orthogonal, and restores the missing "Serve" column label. .... Generated with [Cortex Code](https://docs.snowflake.com/en/user-guide/cortex-code/cortex-code) Co-Authored-By: Cortex Code <noreply@snowflake.com>
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Adds creator_brand_match.ipynb alongside the existing .py source. The .ipynb has 56 cells, correct python3 kernelspec, and no outputs. Readers can import directly into Snowflake Notebooks without conversion. .... Generated with [Cortex Code](https://docs.snowflake.com/en/user-guide/cortex-code/cortex-code) Co-Authored-By: Cortex Code <noreply@snowflake.com>
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…ck unblock, monitoring Sync enriched notebook from commercial_ML. Cell 26 now includes: - Common Network Rule Hosts reference (HuggingFace, PyPI) - Privilege Requirements matrix - Quick Unblock pattern for dev/test - Egress Monitoring query (SPCS_EGRESS_ACCESS_HISTORY) Co-Authored-By: Cortex Code <noreply@snowflake.com>
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Summary
build-an-ai-matching-app-with-snowflake-mlWhat This Guide Covers
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assets/folder (to be added before merging).... Generated with Cortex Code