GENESIS — Enterprise SaaS Chatbot Infrastructure

Synthesis

A product suite needed multi-tenant chatbot infrastructure capable of serving multiple enterprise clients simultaneously with complete data isolation between tenants.

Architecture

Built a multi-tenant RAG platform with isolated FAISS indexes per tenant, JavaScript widget for client-side deployment, admin and tenant dashboards, and Confluence integration for knowledge source management.

Terminal State

Now serves as the foundation for client-facing enterprise deployments with full analytics visibility and superadmin controls.

The Problem

Businesses deploying customer-facing support systems were limited by generic chatbot tools that gave generic answers. Their knowledge was specific, their products were specific, their clients had specific expectations. A shared-knowledge, one-size-fits-all tool wasn't going to work.

What was needed was a platform that could deploy document-grounded chat support — accurate, traceable and completely isolated per business — without requiring a separate infrastructure build for every client added to the platform.

What Was Built

A multi-tenant RAG platform enabling businesses to deploy their own document-grounded chat support systems on shared infrastructure — with strict tenant isolation ensuring no data crossed boundaries between clients under any circumstances.

Each tenant operated with independent vector stores and row-level data access controls. Confluence integration allowed tenants to use their existing knowledge documentation as the source of truth for their chat systems — eliminating the need to rebuild or reformat knowledge that already existed.

Admin and tenant dashboards gave each business full visibility into configuration, usage analytics and system performance. A JavaScript widget and API layer enabled enterprise clients to deploy the chat system inside their existing customer-facing interfaces without requiring infrastructure changes on their end.

What It Delivered

  • Multi-tenant RAG platform supporting concurrent enterprise deployments on isolated infrastructure
  • Strict tenant isolation via independent FAISS vector stores and row-level access controls
  • Confluence integration enabling existing documentation to serve as live knowledge sources
  • Admin and tenant dashboards for configuration, analytics and usage monitoring
  • JavaScript widget enabling deployment inside existing client platforms with minimal integration effort
  • Document-grounded responses with full traceability to source material

    • Technology Stack

    PythonFastAPIPostgreSQLFAISSRedisLLMsRAGDockerJavaScript

    Start Your Project

    You have a problem worth solving. Tell us what it is.

    Describe the problem, not the solution. We will figure out the solution together.

    Let's Talk