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Scalable Billion-point Approximate Nearest Neighbor Search Using {SmartSSDs}
Approximate nearest neighbor search (ANNS) in high-dimensional vector spaces has
become increasingly crucial in database and machine learning applications. Most previous …
become increasingly crucial in database and machine learning applications. Most previous …
Chameleon: a heterogeneous and disaggregated accelerator system for retrieval-augmented language models
A Retrieval-Augmented Language Model (RALM) augments a generative language model
by retrieving context-specific knowledge from an external database. This strategy facilitates …
by retrieving context-specific knowledge from an external database. This strategy facilitates …
Scalable multi-FPGA HPC architecture for associative memory system
Associative memory is a cornerstone of cognitive intelligence within the human brain. The
Bayesian confidence propagation neural network (BCPNN), a cortex-inspired model with …
Bayesian confidence propagation neural network (BCPNN), a cortex-inspired model with …
Tribase: A Vector Data Query Engine for Reliable and Lossless Pruning Compression using Triangle Inequalities
Approximate Nearest Neighbor Search (ANNS) is a critical problem in vector databases.
Cluster-based index is utilized to narrow the search scope of ANNS, thereby accelerating …
Cluster-based index is utilized to narrow the search scope of ANNS, thereby accelerating …
FusionANNS: An Efficient CPU/GPU Cooperative Processing Architecture for Billion-scale Approximate Nearest Neighbor Search
Approximate nearest neighbor search (ANNS) has emerged as a crucial component of
database and AI infrastructure. Ever-increasing vector datasets pose significant challenges …
database and AI infrastructure. Ever-increasing vector datasets pose significant challenges …
Multi-word Term Embeddings Improve Lexical Product Retrieval
Product search is uniquely different from search for documents, Internet resources or
vacancies, therefore it requires the development of specialized search systems. The present …
vacancies, therefore it requires the development of specialized search systems. The present …
FANNS: An FPGA-Based Approximate Nearest-Neighbor Search Accelerator
W Yuan, X ** - IEEE Transactions on Very Large Scale …, 2025 - ieeexplore.ieee.org
Approximate nearest-neighbor search (ANNS) based on high-dimensional vectors has been
extensively utilized in data science and neural networks. However, deploying ANNS in …
extensively utilized in data science and neural networks. However, deploying ANNS in …
H1: гибридная система извлечения информации для поиска товаров в электронной торговле
ФВ Краснов - Труды института системного программирования …, 2024 - mathnet.ru
В данной статье обоснована продуктивность использования системы H1 для поиска
товаров различных поставщиков на торговой интернет-площадке. Как и все …
товаров различных поставщиков на торговой интернет-площадке. Как и все …