GleanVec: Accelerating vector search with minimalist nonlinear dimensionality reduction

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tepper, Mariano, Bhati, Ishwar Singh, Aguerrebere, Cecilia, Willke, Ted
Format:	Preprint
Published:	2024
Subjects:	Information Retrieval Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Locally-Adaptive Quantization for Streaming Vector Search
by: Aguerrebere, Cecilia, et al.
Published: (2024)

Individualized non-uniform quantization for vector search
by: Tepper, Mariano, et al.
Published: (2025)

LeanVec: Searching vectors faster by making them fit
by: Tepper, Mariano, et al.
Published: (2023)

The kernel of graph indices for vector search
by: Tepper, Mariano, et al.
Published: (2025)

Toward Optimal Search and Retrieval for RAG
by: Leto, Alexandria, et al.
Published: (2024)

Interact2Vec -- An efficient neural network-based model for simultaneously learning users and items embeddings in recommender systems
by: Pires, Pedro R., et al.
Published: (2025)

Multimodal semantic retrieval for product search
by: Liu, Dong, et al.
Published: (2025)

AI Guided Accelerator For Search Experience
by: Yetukuri, Jayanth, et al.
Published: (2025)

Accelerating Matrix Factorization by Dynamic Pruning for Fast Recommendation
by: Wu, Yining, et al.
Published: (2024)

Accelerating Recommender Model Training by Dynamically Skipping Stale Embeddings
by: Maboud, Yassaman Ebrahimzadeh, et al.
Published: (2024)

Building a privacy-preserving Federated Recommender system for mobile devices
by: Singh, Aasheesh
Published: (2026)

MST-R: Multi-Stage Tuning for Retrieval Systems and Metric Evaluation
by: Malviya, Yash, et al.
Published: (2024)

Guarding Digital Privacy: Exploring User Profiling and Security Enhancements
by: Kohli, Rishika, et al.
Published: (2025)

Learning Metrics that Maximise Power for Accelerated A/B-Tests
by: Jeunen, Olivier, et al.
Published: (2024)

Retrieval Mechanisms Surpass Long-Context Scaling in Time Series Forecasting
by: Ahuja, Rishi, et al.
Published: (2026)

AMES: Approximate Multi-modal Enterprise Search via Late Interaction Retrieval
by: Joseph, Tony, et al.
Published: (2026)

Segment Discovery: Enhancing E-commerce Targeting
by: Li, Qiqi, et al.
Published: (2024)

MS2MetGAN: Latent-space adversarial training for metabolite-spectrum matching in MS/MS database search
by: Tsai, Meng, et al.
Published: (2026)

Accelerating Retrieval-Augmented Language Model Serving with Speculation
by: Zhang, Zhihao, et al.
Published: (2024)

Better Generalization with Semantic IDs: A Case Study in Ranking for Recommendations
by: Singh, Anima, et al.
Published: (2023)

DV365: Extremely Long User History Modeling at Instagram
by: Lyu, Wenhan, et al.
Published: (2025)

Embedding-based search in JetBrains IDEs
by: Abramov, Evgeny, et al.
Published: (2024)

Graph Regularized Encoder Training for Extreme Classification
by: Mittal, Anshul, et al.
Published: (2024)

Deep Learning Model Acceleration and Optimization Strategies for Real-Time Recommendation Systems
by: Shao, Junli, et al.
Published: (2025)

Vectorizing the Trie: Efficient Constrained Decoding for LLM-based Generative Retrieval on Accelerators
by: Su, Zhengyang, et al.
Published: (2026)

Lookahead: An Inference Acceleration Framework for Large Language Model with Lossless Generation Accuracy
by: Zhao, Yao, et al.
Published: (2023)

Sequential Recommendation via Adaptive Robust Attention with Multi-dimensional Embeddings
by: Pang, Linsey, et al.
Published: (2024)

Intelligent Elastic Feature Fading: Enabling Model Retrain-Free Feature Efficiency Rollouts at Scale
by: Di, Jieming, et al.
Published: (2026)

A case study of Generative AI in MSX Sales Copilot: Improving seller productivity with a real-time question-answering system for content recommendation
by: Singh, Manpreet, et al.
Published: (2024)

Query Attribute Modeling: Improving search relevance with Semantic Search and Meta Data Filtering
by: Menon, Karthik, et al.
Published: (2025)

Fine-grained large-scale content recommendations for MSX sellers
by: Singh, Manpreet, et al.
Published: (2024)

How Many Tools Should an LLM Agent See? A Chance-Corrected Answer
by: Repantis, Vyzantinos, et al.
Published: (2026)

Improving Few-Shot Cross-Domain Named Entity Recognition by Instruction Tuning a Word-Embedding based Retrieval Augmented Large Language Model
by: Nandi, Subhadip, et al.
Published: (2024)

Autoregressive Generation Strategies for Top-K Sequential Recommendations
by: Volodkevich, Anna, et al.
Published: (2024)

Revisiting Bi-Encoder Neural Search: An Encoding--Searching Separation Perspective
by: Tran, Hung-Nghiep, et al.
Published: (2024)

RDSA: A Robust Deep Graph Clustering Framework via Dual Soft Assignment
by: Xiang, Yang, et al.
Published: (2024)

Against Filter Bubbles: Diversified Music Recommendation via Weighted Hypergraph Embedding Learning
by: Luo, Chaoguang, et al.
Published: (2024)

Let's Get It Started: Fostering the Discoverability of New Releases on Deezer
by: Briand, Léa, et al.
Published: (2024)

Model-Free Approximate Bayesian Learning for Large-Scale Conversion Funnel Optimization
by: Iyengar, Garud, et al.
Published: (2024)

Domain Adaptation of Multilingual Semantic Search -- Literature Review
by: Bringmann, Anna, et al.
Published: (2024)