Launching Bauplan MCP Server: the First Step towards the Agentic Lakehouse
Launching Bauplan MCP Server
Convert PDFs into structured, analyzable tables using LLMs.
Build near real-time analytics pipeline with WAP pattern and visualize metrics with Streamlit.
Analyze PDFs using Bauplan for data preparation and OpenAI’s GPT for text analysis.
End-to-end ML pipeline for predicting taxi trip tips with Streamlit data viz.
Securely automate ingestion of remote files into your Iceberg data workflows.
End-to-end entity matching for e-commerce, using OpenAI’s off-the-shelf LLM APIs for accurate matching.
Embedding-based recommender system for music playlists.
Orchestrated Write-Audit-Publish pattern for ingesting parquet files to Iceberg tables.
Build a RAG system with Pinecone and OpenAI over StackOverflow data.
Serverless data product with built-in quality checks using Lambda and Bauplan.
Build an interactive dashboard to visualize taxi pickup locations in NYC.
Implement data quality checks using expectations.
A scalable pipeline turning high-volume NetFlow traffic into AI-ready features.
End-to-end data engineering repo using Mage & the medallion architecture.
Write-Audit-Publish pattern with DBOS durable execution and Bauplan data branching for safe lakehouse ingestion.
dbt workflows VS Bauplan pipelines with branching, testing, and CI/CD
