Designing Interfaces for Multimodal Vector Search Applications

TL;DR

This paper explores innovative interface designs for multimodal vector search systems, leveraging CLIP models to enhance user interaction and better fulfill complex information needs beyond traditional lexical search methods.

Contribution

It introduces new design patterns and implementations that improve user interaction with multimodal vector search applications using CLIP models.

Findings

Enhanced user interaction capabilities with multimodal search

Design patterns for effective multimodal search interfaces

Demonstrated improved expression of information needs

Abstract

Multimodal vector search offers a new paradigm for information retrieval by exposing numerous pieces of functionality which are not possible in traditional lexical search engines. While multimodal vector search can be treated as a drop in replacement for these traditional systems, the experience can be significantly enhanced by leveraging the unique capabilities of multimodal search. Central to any information retrieval system is a user who expresses an information need, traditional user interfaces with a single search bar allow users to interact with lexical search systems effectively however are not necessarily optimal for multimodal vector search. In this paper we explore novel capabilities of multimodal vector search applications utilising CLIP models and present implementations and design patterns which better allow users to express their information needs and effectively interact with these systems in an information retrieval context.