repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · 1mo ago
mage-ai/mage-ai
🧙 Build, run, and manage data pipelines for integrating and transforming data.
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Paper → model → repo connections mined from source citations (Tier-1 exact match).
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Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 51%MaDI-Bench: An End-to-End Data Integration Benchmark →
- PossiblePossibly related (embedding) · 50%Build an agentic AI healthcare claims pipeline with Amazon Bedrock and AWS HealthLake →
- PossiblePossibly related (embedding) · 49%Building agentic AI applications with a modern data mesh strategy on AWS →
- PossiblePossibly related (embedding) · 46%I Built My Second ETL Pipeline. This Time, I Started Thinking Like a Data Engineer - Towards Data Science →
- PossiblePossibly related (embedding) · 51%Ada: An AI business intelligence software from CSV and Excel(yes LLMs but more) →
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Related across the graph
newsBuilding agentic AI applications with a modern data mesh strategy on AWSnewsI Built My Second ETL Pipeline. This Time, I Started Thinking Like a Data Engineer - Towards Data SciencepaperMaDI-Bench: An End-to-End Data Integration BenchmarknewsAda: An AI business intelligence software from CSV and Excel(yes LLMs but more)newsBuild an agentic AI healthcare claims pipeline with Amazon Bedrock and AWS HealthLake