bbqvec 0.0.9

Scalable, embeddable, vector storage for approximate K-nearest-neighbors (AKNN)
Documentation
[[bench]]
harness = false
name = "main_benchmark"
path = "benches/main_benchmark.rs"

[[bench]]
name = "memory_store"
path = "benches/memory_store.rs"

[[bench]]
name = "micro"
path = "benches/micro.rs"

[dependencies.anyhow]
version = "1.0.86"

[dependencies.argminmax]
default-features = false
features = ["float"]
version = "0.6.2"

[dependencies.bitvec]
features = ["serde"]
version = "1"

[dependencies.bytemuck]
features = ["derive", "extern_crate_alloc"]
version = "1.16.0"

[dependencies.byteorder]
version = "1.5.0"

[dependencies.croaring]
version = "1.1.0"

[dependencies.half]
features = ["std", "zerocopy"]
version = "2.4.1"

[dependencies.memmap2]
version = "0.9.5"

[dependencies.rand]
version = "0.8.5"

[dependencies.rayon]
version = "1.10.0"

[dependencies.roaring]
features = ["serde"]
version = "0.10.4"

[dependencies.serde]
features = ["derive"]
version = "1.0.203"

[dependencies.serde_json]
version = "1.0.128"

[dependencies.thiserror]
version = "1.0.61"

[dev-dependencies.criterion]
version = "0.5.1"

[dev-dependencies.pprof]
features = ["flamegraph", "protobuf-codec", "protobuf", "criterion"]
version = "0.13.0"

[lib]
name = "bbqvec"
path = "src/lib.rs"

[package]
authors = ["Daxe, Inc.", "Barak Michener <barak@daxe.ai>"]
autobenches = false
autobins = false
autoexamples = false
autotests = false
build = false
categories = ["algorithms", "data-structures", "database-implementations"]
description = "Scalable, embeddable, vector storage for approximate K-nearest-neighbors (AKNN)"
edition = "2021"
keywords = ["vector", "database", "aknn", "search", "nearest-neighbor"]
license = "Apache-2.0"
name = "bbqvec"
readme = "README.md"
repository = "https://github.com/daxe-ai/bbqvec"
version = "0.0.9"

[profile.bench]
debug = 2

[[test]]
name = "basic_test"
path = "tests/basic_test.rs"

[[test]]
name = "search"
path = "tests/search.rs"