Generative AI workflows

RAG, synthetic data, speech, and document-processing patterns. Each workflow below has its own page with a DAG, inputs, outputs, provenance, and execution considerations.

Workflow	Purpose
RAG index construction and evaluation	Build a retrievable knowledge index and validate it before publication.
Synthetic dataset generation	Generate, filter, deduplicate, review, and publish synthetic records.
Audio transcription and summarization	Transcribe segments concurrently, restore chronology, and produce a traceable summary.
OCR and document extraction	Combine native extraction and OCR before validating structured records.