Papers

The impacts of Data, Ordering, and Intrinsic Dimensionality on Recall in HNSW

The impacts of Data, Ordering, and Intrinsic Dimensionality on Recall in HNSW

Vector search systems, pivotal in AI applications, often rely on the Hierarchical Navigable Small Worlds (HNSW) algorithm. However, the behaviour of HNSW under real-world scenarios using vectors generated with deep learning models remains under-explored. Existing Approximate Nearest Neighbours (ANN)...

Conference: ICTIR 2024Date: 2024-04-28arXiv | Conference Link
Designing Interfaces for Multimodal Vector Search Applications

Designing Interfaces for Multimodal Vector Search Applications

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...

Conference: CIKM MMSR 2024Date: 2024-09-18arXiv | Conference Link