Compose GenAI Apps: May the Force Be with Your Data and Models
summary
Explains how composable GenAI architectures plus Retrieval-Augmented Generation (RAG) can reduce development time from months to hours by using a concrete pipeline: ingestion → refinement → data catalog → retrieval/match → model → API. Describes tools and components used—Digital Integration Hub, data catalog, data fabric, a reusable match service—and demonstrates auto-created APIs with logging, monitoring, CI/CD and a developer Marketplace/Portal (example: a travel chatbot that avoids re-recommending already-visited countries).
AI-written summary · about
chapters (6)
- 0:00RAG system overview
- 4:58What is Platform Engineering
- 16:58Platform Engineering vs data
- 21:11Efficient data management
- 27:12AI-generated platform parts
- 30:02Q&A
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