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Sovereign Knowledge Vault

Multi-generational family and business intelligence system with shared and private vaults

Advanced6 weeks~$800/mo
Multi-Cloud
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The Problem

Institutional knowledge dies with people. Family businesses lose decades of wisdom when founders retire. Personal insights are scattered across apps. There's no architecture for preserving and querying multi-generational knowledge with proper access controls.

The Solution

Deploy a vault architecture with three tiers — Personal (private, per-user), Family (shared, read-all write-own), and Business Intelligence (structured, role-based). Each tier uses pgvector for semantic search with Supabase RLS for access control. A knowledge encoding pipeline converts conversations, documents, and oral history into structured, queryable intelligence.

Overview

A sovereign data architecture for families and organizations that preserves institutional knowledge across generations. Each member gets a private vault (personal AI memory) plus access to shared vaults (family wisdom, business intelligence). Built on Supabase with pgvector for semantic search, row-level security for isolation, and a knowledge encoding pipeline that converts oral history into queryable intelligence. The Hashems 1959 system — encoding 67 years of business knowledge — is the proof case.

Architecture

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Components

Knowledge Capture API

gateway

Ingestion endpoint for voice recordings, documents, conversations, and structured data.

Service: Vercel API Routes

Knowledge Encoder

compute

Processes raw input into structured knowledge: entity extraction, relationship mapping, embedding generation.

Service: Claude API + custom pipeline

Personal Vault

database

Private per-user memory store. Conversations, decisions, insights. RLS-enforced — only the owner can access.

Service: Supabase pgvector (user schema)

Family Vault

database

Shared family knowledge. Recipes, stories, business wisdom, ancestral history. Read-all, write-own policy.

Service: Supabase pgvector (family schema)

Business Intelligence Vault

database

Structured business knowledge — supplier relationships, negotiation patterns, market intelligence, financial history.

Service: Supabase pgvector (org schema)

Semantic Query Engine

ai-service

Natural language queries across vaults with automatic scope resolution. Knows which vaults the user can access.

Service: Claude + pgvector RPC

Access Control Layer

gateway

Row-level security policies. Personal = owner only. Family = family members. Business = role-based (admin/member/viewer).

Service: Supabase RLS policies

Sovereignty Export

storage

Full data portability. Export all vaults as encrypted packages. Delete on request. Your data, your control.

Service: Supabase Storage + encryption

Implementation Steps

1

Vault Infrastructure

2 weeks

Set up Supabase schemas with pgvector and row-level security

Tasks
  • Create three-schema architecture (personal, family, org)
  • Enable pgvector extension on each schema
  • Configure RLS policies for each vault tier
  • Build auth integration with user/family/org membership
  • Deploy Knowledge Capture API endpoints
Deliverables
Three-tier vault with RLSCapture API with auth
2

Knowledge Encoding Pipeline

2 weeks

Build the pipeline that converts raw input into structured intelligence

Tasks
  • Implement voice transcription (Whisper API)
  • Build entity extraction with Claude
  • Create relationship mapping between entities
  • Generate embeddings for semantic search
  • Implement auto-categorization (personal/family/business)
Deliverables
Working encoding pipelineAuto-categorized knowledge entries
3

Semantic Query Engine

2 weeks

Natural language access to vault knowledge

Tasks
  • Build cross-vault semantic search with scope resolution
  • Implement pgvector RPC functions for each vault tier
  • Create Claude-powered answer generation with citations
  • Add temporal queries (what happened in 1990?)
  • Build export engine with encryption
Deliverables
Cross-vault query engineData export with full portability

Code Examples

Row-Level Security for Three-Tier Vaults

Supabase RLS policies ensuring data sovereignty across personal, family, and business vaults

-- Personal Vault: only the owner can read/write
CREATE POLICY personal_vault_owner ON personal_memories
  FOR ALL USING (auth.uid() = user_id);

-- Family Vault: all family members can read, write own
CREATE POLICY family_vault_read ON family_knowledge
  FOR SELECT USING (
    auth.uid() IN (
      SELECT user_id FROM family_memberships
      WHERE family_id = family_knowledge.family_id
    )
  );

CREATE POLICY family_vault_write ON family_knowledge
  FOR INSERT WITH CHECK (auth.uid() = contributed_by);

-- Business Vault: role-based access
CREATE POLICY business_vault_access ON business_intelligence
  FOR ALL USING (
    auth.uid() IN (
      SELECT user_id FROM org_memberships
      WHERE org_id = business_intelligence.org_id
      AND role IN ('admin', 'member')
    )
  );

Cost Estimate

$800

per month

|

$9,600

per year

Supabase Pro (pgvector)
$300
Claude API (encoding)
$250
Whisper API (voice)
$100
Vercel + storage
$150

Assumptions: 50 family members, ~200 knowledge entries/month, 10GB vault storage

Use Cases

Family legacy preservationSMB institutional knowledge captureMulti-generational business intelligencePersonal AI memory with data sovereigntyCultural heritage documentation

Technologies

SupabasepgvectorPostgreSQLClaude APIWhisperNext.jsVercelTypeScriptRow-Level Security

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