Email Corpus Ingestion Pipeline (EML)
Transform raw email archives into a structured, searchable knowledge system with strict privacy controls. It ingests EML files export; attachment metadata (optional) and produces structured email dataset; search/index layer; assistant-ready knowledge base.
Purpose
Transform raw email archives into a structured, searchable knowledge system with strict privacy controls.
Current state
Intent captured; implementation is TBD pending governance decisions.
Next step
Write the data governance spec before any technical implementation.
Interfaces
- EML files export
- attachment metadata (optional)
- structured email dataset
- search/index layer
- assistant-ready knowledge base
Reality to Action trace
Contributes in this stage.
Contributes in this stage.
Contributes in this stage.
Not in scope.
Not in scope.
Core workflow
TBD. Document the 5-10 steps that define the core workflow.
Operational notes
Reliability posture
Must handle messy formats with dedupe and threading.
Observability
- ingest stats
- parse error logs
Security and privacy
Extreme; requires redaction, minimization, and access control.
Dependencies
Upstream- email exports
- data governance decisions
- custom assistants
- search experiences
Ownership
OwnersJosh Barton
Usersyou, Josh Barton (owner)