Product + AI Prototype

DIG Assistant — Knowledge Chat POC

Proof-of-concept for Data Intelligence Group built from my own reusable template: a production-style knowledge assistant that demonstrates retrieval architecture, full-stack delivery, and end-to-end design discipline.

RAG Architecture

Retrieval-first assistant flow

Data Layer

Vector + relational query model

Full Stack

Frontend UX + backend APIs

Product Design

Template-driven UI system

System Diagram

Retrieval flow used in the DIG POC, combining semantic search with relational metadata for grounded responses.

Chat UIReact frontendAPI + OrchestratorBackend logicRetrieverEmbedding + rankingResponse ComposerGrounded answerVector StoreSemantic nearest-neighbor retrievalRelational MetadataSource, tags, and structure

Scope Delivered

  • Designed and shipped an AI assistant UX for knowledge-base question answering
  • Implemented retrieval pipeline patterns for relevance-aware responses
  • Structured data model to support vector retrieval with relational metadata
  • Built as a reusable template foundation for future client AI prototypes

Core Stack

TypeScriptReactRAG patternsVector retrievalRelational DB modelingAPI designUI systems

Engagement Notes

This project was delivered as a focused POC to validate product direction and technical feasibility for DIG. It emphasizes practical RAG implementation, robust data modeling, and strong interface design from the same delivery stream.

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