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System Specifications File

TenantMind AI

Multi-Tenant Enterprise Property Management RAG

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Introduction

TenantMind AI is an enterprise-grade property management portal powered by Retrieval-Augmented Generation (RAG). It enables landlords, property managers, and tenants to query lease agreements, utility allocations, and billing history in natural language. The core challenge of enterprise SaaS is security: TenantMind AI implements a multi-tenant authorization framework that isolates document data at the identity, database, and vector space layers, ensuring that no tenant can ever access or retrieve another tenant's files.

Project Overview:Landlords can upload PDFs of leases and utility bills. Celery workers parse text, and tenants query the document search engine safely, receiving grounded responses with citations of their specific lease conditions.

Core Concept

To prevent cross-tenant data leaks during AI vector query retrieval, TenantMind AI integrates Keycloak OIDC tokens validation to determine organizational scopes on every query, executing semantic searches strictly inside tenant Qdrant namespaces.

Architect Design Philosophy:This system is designed with a focus on local-first operational autonomy, strict multi-tenant isolation barriers, and minimizing computing overhead.

Video walk-through pending release

System components and logging streams are mock visualized under standard interactive screens.