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Workshop

The 1st Workshop on Vector Databases

Yusuke Matsui ⋅ Martin Aumüller ⋅ Magdalen Dobson Manohar ⋅ Harsha Vardhan Simhadri
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Abstract

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Schedule

Timezone: Asia/Seoul
12:30 AM
Opening Remarks
Yusuke Matsui
1:30 AM
Oral 1: A Bi-metric Framework for Efficient Nearest Neighbor Search
Haike Xu ⋅ Piotr Indyk ⋅ Sandeep Silwal
1:50 AM
Oral 1: The RaBitQ Library
Jianyang Gao ⋅ Yutong Gou ⋅ Yuexuan Xu ⋅ Jifan Shi ⋅ Zhonghao Yang ⋅ Cheng Long
2:10 AM
Oral 1: IVF$^{2}$ Index: Fusing Classic and Spatial Inverted Indices for Fast Filtered ANNS
Ben Landrum ⋅ Magdalen Manohar ⋅ Mazin Karjikar ⋅ Laxman Dhulipala
→ IVF$^{2}$ Index: Fusing Classic and Spatial Inverted Indices for Fast Filtered ANNS
Ben Landrum ⋅ Magdalen Manohar ⋅ Mazin Karjikar ⋅ Laxman Dhulipala
→ Unified Multimodal Interleaved Document Representation for Retrieval
Jaewoo Lee ⋅ Joonho Ko ⋅ Jinheon Baek ⋅ Soyeong Jeong ⋅ Sung Ju Hwang
→ FrugalRAG: Learning to retrieve and reason for multi-hop QA
Abhinav Java ⋅ Srivathsan Koundinyan ⋅ Nagarajan Natarajan ⋅ Amit Sharma
→ The RaBitQ Library
Jianyang Gao ⋅ Yutong Gou ⋅ Yuexuan Xu ⋅ Jifan Shi ⋅ Zhonghao Yang ⋅ Cheng Long
→ Graph-Based Vector Search: An Experimental Evaluation of the State-of-the-Art
Ilias Azizi ⋅ Karima Echihabi ⋅ Themis Palpanas ⋅ VASSILIS CHRISTOPHIDES
→ DistributedANN: Efficient Scaling of a Single DiskANN Graph Across Thousands of Computers
Philip Adams ⋅ Menghao Li ⋅ Shi Zhang ⋅ Li Tan ⋅ Qi Chen ⋅ Mingqin Li ⋅ Zengzhong Li ⋅ Knut Risvik ⋅ Harsha Vardhan simhadri
→ Don’t Lag, RAG: Training-Free Adversarial Detection Using RAG
Roie Kazoom ⋅ Raz Lapid ⋅ Moshe Sipper ⋅ Ofer Hadar
→ A Bi-metric Framework for Efficient Nearest Neighbor Search
Haike Xu ⋅ Piotr Indyk ⋅ Sandeep Silwal
4:00 AM
Lunch
→ $\alpha$-Reachable Graphs for Multi-vector Nearest Neighbor Search
Siddharth Gollapudi ⋅ Ravishankar Krishnaswamy ⋅ Ben Landrum ⋅ Nikhil Rao ⋅ Kirankumar Shiragur ⋅ Sandeep Silwal ⋅ Harsh Wardhan
→ Scaling Laws for Nearest Neighbor Search
Philip Sun ⋅ Felix Chern ⋅ Yaroslav Akhremtsev ⋅ Ruiqi Guo ⋅ David Simcha ⋅ Sanjiv Kumar
→ LEANN: A Low-Storage Vector Index for Personal Devices
Yichuan Wang ⋅ Shu Liu ⋅ Zhifei Li ⋅ Yongji Wu ⋅ Ziming Mao ⋅ Yilong Zhao ⋅ Xiao Yan ⋅ Zhiying Xu ⋅ Yang Zhou ⋅ Ion Stoica ⋅ Sewon Min ⋅ Matei Zaharia ⋅ Joseph E Gonzalez
→ Learning Filter-Aware Distance Metrics for Nearest Neighbor Search with Multiple Filters
Gopal R Srinivasa ⋅ Ananya Sutradhar ⋅ Suryansh Gupta ⋅ Ravishankar Krishnaswamy ⋅ Kirankumar Shiragur
→ Vector Data Search with Sorting Transformation
Hongzhi Wang ⋅ Tanveer Syeda-Mahmood
→ Entropy-Based Dynamic Hybrid Retrieval for Adaptive Query Weighting in RAG Pipelines
John Perez ⋅ James Zhou ⋅ Nguyen Le ⋅ Alexander Menchtchikov ⋅ Ryan Lagasse
→ Rewrite-to-Rank: Optimizing Ad Visibility via Retrieval-Aware Text Rewriting
Chloe Ho ⋅ Ishneet Singh ⋅ Diya Sharma ⋅ Tanvi Anumandla ⋅ Kevin Zhu ⋅ Michael Lu ⋅ Vasu Sharma
→ Down with the Hierarchy: The ‘H’ in HNSW Stands for “Hubs”
Blaise Munyampirwa ⋅ Vihan Lakshman ⋅ Benjamin Coleman
→ Exploiting Sparsity for Long Context Inference: Million Token Contexts on Commodity GPUs
Ryan Synk ⋅ Monte Hoover ⋅ John Kirchenbauer ⋅ Neel Jain ⋅ Alex Stein ⋅ Manli Shu ⋅ Josue Melendez Sanchez ⋅ Ramani Duraiswami ⋅ Tom Goldstein
7:00 AM
Coffee Break
8:15 AM
Oral 2: $\alpha$-Reachable Graphs for Multi-vector Nearest Neighbor Search
Siddharth Gollapudi ⋅ Ravishankar Krishnaswamy ⋅ Ben Landrum ⋅ Nikhil Rao ⋅ Kirankumar Shiragur ⋅ Sandeep Silwal ⋅ Harsh Wardhan
8:35 AM
Oral 2: Enhancing Retrieval Systems with Inference-Time Logical Reasoning
Felix Faltings ⋅ Wei Wei ⋅ Yujia Bao
8:55 AM
Oral 2: Down with the Hierarchy: The ‘H’ in HNSW Stands for “Hubs”
Blaise Munyampirwa ⋅ Vihan Lakshman ⋅ Benjamin Coleman
9:15 AM
Closing Remarks
Yusuke Matsui