Examples¶
Browse our collection of self-contained examples demonstrating various use cases with pre-built pipelines.
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From unstructured to structured data with LLMs
Convert PDFs into structured, analyzable tables using LLMs.
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Playlist recommendations with MongoDB
Embedding-based recommender system for music playlists.
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Orchestrated WAP pattern for ingesting parquet files to Iceberg tables.
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PDF analysis with bauplan and OpenAI
Analyze PDFs using Bauplan for data preparation and OpenAI’s GPT for text analysis
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ML Model Training and Deployment Pipeline
End-to-end ML pipeline for predicting taxi trip tips.
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Product matching across e-commerce catalogs using LLMs.
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Implement data quality checks using expectations.
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Build near real-time analytics pipeline with WAP pattern and metrics visualization.
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Build an interactive dashboard to visualize taxi pickup locations in NYC.