Publications
Pinecone Research
Pinecone's scientists and engineers work on cutting-edge research at the intersection of information retrieval, model training, and efficient system architectures. These insights form the foundation of the company's state-of-the-art vector database, including its algorithms and system architecture, and also appear in academic conferences, scholarly publications, and other venues.
Featured
ECIR 2025 (Best Short Paper, Honourable Mention)
Efficient Constant-Space Multi-Vector Retrieval
Sean MacAvaney, Antonio Mallia, Nicola Tonellotto
SIGIR 2025
Unveiling DIME: Reproducibility, Scalability, and Formal Analysis of Dimension Importance Estimation for Dense Retrieval
Cesare Campagnano, Antonio Mallia, Fabrizio Silvestri
SIGIR 2025
Fast and Effective Early Termination for Simple Ranking Functions
Jinrui Gou, Antonio Mallia, Yifan Liu, Minghao Shao, Torsten Suel
SIGIR 2025
A Flexible Resource for Top-Weighted Comparisons Between Sets and Rankings
Alistair Moffat, Joel Mackenzie, Antonio Mallia, Matthias Petri
ECIR 2025
E2Rank: Efficient and Effective Layer-wise Reranking
Cesare Campagnano, Antonio Mallia, Jack Pertschuk, Fabrizio Silvestri
ECIR 2025
ColBERT-serve: Efficient Multi-Stage Memory-Mapped Scoring
Kaili Huang, Antonio Mallia, et al.
ECIR 2025 (Best Short Paper, Honourable Mention)
Efficient Constant-Space Multi-Vector Retrieval
Sean MacAvaney, Antonio Mallia, Nicola Tonellotto
AISTATS 2025
Natural Language Counterfactual Explanations for Graphs Using Large Language Models
Flavio Giorgi, Cesare Campagnano, Fabrizio Silvestri, Gabriele Tolomei
NEURIPS 2024
Results of the Big ANN: NeurIPS'23 competition
Amir Ingber, Edo Liberty, et al.
2024
Bridging Dense and Sparse Maximum Inner Product Search
Sebastian Bruch, Franco Maria Nardini, Amir Ingber, Edo Liberty
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