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bigANNOY: Approximate k-Nearest Neighbour Search for 'bigmemory' Matrices with Annoy

Approximate Euclidean k-nearest neighbour search routines that operate on 'bigmemory::big.matrix' data through Annoy indexes created with 'RcppAnnoy'. The package builds persistent on-disk indexes plus sidecar metadata from streamed 'big.matrix' rows, supports euclidean, angular, Manhattan, and dot-product Annoy metrics, and can either return in-memory results or stream neighbour indices and distances into destination 'bigmemory' matrices. Explicit index life cycle helpers, stronger metadata validation, descriptor-aware file-backed workflows, and benchmark helpers are also included.

Version: 0.3.0
Depends: R (≥ 3.5.0)
Imports: methods, Rcpp, RcppAnnoy
LinkingTo: BH, bigmemory, Rcpp, RcppAnnoy
Suggests: bigmemory, knitr, litedown, testthat (≥ 3.0.0)
Published: 2026-04-01
DOI: 10.32614/CRAN.package.bigANNOY (may not be active yet)
Author: Frederic Bertrand [aut, cre]
Maintainer: Frederic Bertrand <frederic.bertrand at lecnam.net>
BugReports: https://github.com/fbertran/bigANNOY/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://fbertran.github.io/bigANNOY/, https://github.com/fbertran/bigANNOY
NeedsCompilation: yes
Citation: bigANNOY citation info
Materials: README, NEWS
CRAN checks: bigANNOY results

Documentation:

Reference manual: bigANNOY.html , bigANNOY.pdf
Vignettes: Benchmarking Recall and Latency (source, R code)
bigANNOY Versus bigKNN (source, R code)
File-Backed bigmemory Workflows (source, R code)
Getting Started with bigANNOY (source, R code)
Metrics and Tuning (source, R code)
Persistent Indexes and Lifecycle (source, R code)
Validation and Sharing Indexes (source, R code)

Downloads:

Package source: bigANNOY_0.3.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): bigANNOY_0.3.0.tgz, r-oldrel (arm64): not available, r-release (x86_64): bigANNOY_0.3.0.tgz, r-oldrel (x86_64): bigANNOY_0.3.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=bigANNOY to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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