Vector DB visualizer
A data exploration tool for understanding how documents become vectors, how similarity works, and why a retrieval result appears.
Live demo coming soon
01 / The idea
What I'm exploring
Vector search is easy to describe and surprisingly hard to feel. This project aims to make the movement from text to embedding to result visible.
The interface is designed for exploration: compare neighborhoods, inspect metadata, and understand why a result was selected.
02 / The approach
Small steps, visible trade-offs.
- Visualize the relationship between source text, vectors, and retrieval results.
- Keep the data model close to the explanation shown in the interface.
- Use small datasets first so the visual story stays understandable.
03 / The outcome
What success looks like.
A clear, hands-on explanation of retrieval that can grow into a practical debugging tool.