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): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

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