Accelerate Data Pipeline Development Time: Learn How to Unleash Rivery’s Gen AI for a 20X Leap
summary
Rivery’s Gen AI uses retrieval-augmented generation to read API docs, infer auth and parameters, and auto-generated connector code plus schema and config that map into a target; the demo claims a 20x faster development cycle versus hand-building pipelines. It runs the pipeline, shows runtime stats, and produces a reusable blueprint that teams can edit, re-run, and apply to many sources (presentation notes ~30 apps vs typical org need of ~80 connections).
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chapters (7)
- 0:00Introduction and context
- 1:12Impact of Gen AI on jobs
- 3:19What is RAG and its challenges
- 5:50Rivery’s solution for Gen AI pipelines
- 7:21Live demo of Rivery’s pipeline creation
- 12:48Benefits of Rivery’s approach
- 13:11Summary and tribute
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