3 papers
cs.IR2024
Designing Interfaces for Multimodal Vector Search Applications
Owen Pendrigh Elliott, Tom Hamer, Jesse Clark
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.…
cs.IR2024
The Impacts of Data, Ordering, and Intrinsic Dimensionality on Recall in Hierarchical Navigable Small Worlds
Owen Pendrigh Elliott, Jesse Clark
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…
cs.IR2024
Generalized Contrastive Learning for Multi-Modal Retrieval and Ranking
Tianyu Zhu, Myong Chol Jung, Jesse Clark
Contrastive learning has gained widespread adoption for retrieval tasks due to its minimal requirement for manual annotations. However, popular training frameworks typically learn…