BLUEPRINTVector Databases

Sovereign Knowledge Vault

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

Advanced6 weeks~$800/mo

Multi-Cloud

Try Prototype (BYOK)Get Template Open in AI Studio

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

Loading interactive diagram...

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

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

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

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

Ready to Build?

Try the interactive prototype or get the production-ready template.

Try Prototype Get Template