[VERIFIED CASE STUDY]
Local AI Knowledge and Document Processing Workflow
Processes local knowledge document sample data and persists document/run evidence to PostgreSQL.
Business Problem
Knowledge workflows need transparent local processing and a way to prove what was stored.
Workflow Purpose
Demonstrate deterministic local document processing, PostgreSQL document records, and processing-run tracking.
Persistence Model
- knowledge_documents
- knowledge_processing_runs
Verified Counts
- 3 knowledge document records
- 1 processing run
Node Sequence
Create sample documentsShape metadataPersist knowledge documentsRecord processing runReturn evidence
Validation Logic
The verified path uses deterministic local processing so the result can be inspected without external API dependency.
Reliability Patterns
- Processing-run table
- Document table
- Static sample data
- Release workflow export
Security Model
- No paid external API dependency
- No private documents
- Sanitized workflow export
Lessons Learned
- Local-first AI examples should separate verified behavior from optional model experiments.
- Persistence proof matters more than visual polish alone.
Downloads
Optional local model experimentation is outside the verified persistence path.