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20192025
most citedALEX: An Updatable Adaptive Learned Index

273 citations · 431 across the 11 of their papers we have counts for

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6 papers · 1 filter

cs.DB2024

Incremental IVF Index Maintenance for Streaming Vector Search

Jason Mohoney, Anil Pacaci, Shihabur Rahman Chowdhury +7

The prevalence of vector similarity search in modern machine learning applications and the continuously changing nature of data processed by these applications necessitate efficien…

cs.DB2023★ 3 cited

High-Throughput Vector Similarity Search in Knowledge Graphs

Jason Mohoney, Anil Pacaci, Shihabur Rahman Chowdhury +5

There is an increasing adoption of machine learning for encoding data into vectors to serve online recommendation and search use cases. As a result, recent data management systems…

cs.DB2021★ 7 cited

Bounding the Last Mile: Efficient Learned String Indexing

Benjamin Spector, Andreas Kipf, Kapil Vaidya +3

We introduce the RadixStringSpline (RSS) learned index structure for efficiently indexing strings. RSS is a tree of radix splines each indexing a fixed number of bytes. RSS approac…

cs.DB2021★ 56 cited

APEX: A High-Performance Learned Index on Persistent Memory

Baotong Lu, Jialin Ding, Eric Lo +2

The recently released persistent memory (PM) offers high performance, persistence, and is cheaper than DRAM. This opens up new possibilities for indexes that operate and persist da…

cs.DB2020★ 87 cited

Qd-tree: Learning Data Layouts for Big Data Analytics

Zongheng Yang, Badrish Chandramouli, Chi Wang +6

Corporations today collect data at an unprecedented and accelerating scale, making the need to run queries on large datasets increasingly important. Technologies such as columnar b…

cs.DB2019★ 273 cited

ALEX: An Updatable Adaptive Learned Index

Jialin Ding, Umar Farooq Minhas, Jia Yu +9

Recent work on "learned indexes" has changed the way we look at the decades-old field of DBMS indexing. The key idea is that indexes can be thought of as "models" that predict the…