Lab 03

Visual RAG

Ask how this site was built

Find answers in the project library and open the sources behind them.

Overview

The answer exists somewhere in a library, but finding the right passage takes work.

How this could help a business

The same pattern supports internal knowledge tools, document search and support assistants. A company version needs access controls, maintained source documents and evaluation of real questions.

What I built

  • A document preparation and search pipeline with a real vector database.
  • Browser-side question processing and optional local answer generation with clickable citations.
Use an example. No technical knowledge required.
Data handling & current limitations

The AI writer is an optional large download. You can read the sources on their own.

Demo only. Each lab below explains which inputs stay on your device and which data is sent for server-backed features. Model files are downloaded and may remain in your browser cache. Hosting and security services also receive the network requests needed to serve the site.

Your question is embedded in this browser. Searching the site corpus sends the query vector to our search service. The question text and any PDF you add stay on this device.

A citation can point to a real source without supporting the sentence. Retrieval quality is the part I am still improving: the committed benchmark is below my target, and because the match cutoff was set on the same question set, I treat those numbers as optimistic until a held-out split exists.