Supabase Database
Navigate and query the Empathy Ledger Supabase database.
When to Use
- •Understanding table relationships
- •Writing database queries
- •Finding the right data source
- •Checking schema structure
Quick Relationship Map
code
tenants
└── profiles → storytellers → stories → transcripts
↓
transcript_analysis_results
↓
narrative_themes + extracted_quotes
Core Tables
Storytelling
| Table | Purpose |
|---|---|
storytellers | Storyteller personas (canonical) |
stories | Core content |
transcripts | Audio/text transcriptions |
Analysis
| Table | Purpose |
|---|---|
transcript_analysis_results | Versioned AI analysis |
narrative_themes | AI-extracted themes |
knowledge_chunks | RAG embeddings (22k+) |
Multi-Tenant
| Table | Purpose |
|---|---|
tenants | Top-level isolation |
profiles | User accounts |
organisations | Community groups |
Common Queries
sql
-- Storyteller with story count SELECT st.*, COUNT(s.id) as story_count FROM storytellers st LEFT JOIN stories s ON s.storyteller_id = st.id GROUP BY st.id; -- Stories by theme SELECT * FROM stories WHERE 'healing' = ANY(cultural_themes); -- Theme frequency SELECT unnest(cultural_themes) as theme, COUNT(*) FROM stories WHERE status = 'published' GROUP BY theme ORDER BY count DESC;
Reference Files
| Topic | File |
|---|---|
| Full table list | refs/tables.md |
| Relationship diagram | refs/relationship-diagram.md |
Related Skills
- •
supabase-connection- Database clients - •
supabase-deployment- Migrations - •
database-navigator- Schema exploration