Manoa Faculty Senate RAG Capstone

Overview

This capstone project focused on retrieval-augmented search and question answering for Manoa Faculty Senate documents. It was effectively a one-person implementation effort, so the project is useful evidence for document ingestion, retrieval design, and AI search work.

I am not presenting it as a polished deployed product. It belongs in supporting work because the implementation was built for the capstone context and does not currently have the same public polish as the featured projects.

What I Built

I worked across the full RAG flow: document handling, retrieval, answer generation, and the surrounding application logic needed to make the system usable for searching a document collection.

The important part was turning a static set of institutional documents into something that could be queried more directly.

Current State

I treat this as AI/document retrieval evidence, not as a production adoption claim. It shows I can own the full ingestion, retrieval, and answer path when a project needs one person to hold the whole system together.

A clearer diagram of the ingestion, retrieval, and answer pipeline would make this easier to evaluate once the exact stack details are filled in.