Exactly computes the dot product between two vectors
Computes the dot product between two numeric arrays.
High-performance 3D dot product for graphics (WebGL/Three.js) with ESM/CJS/IIFE support
Fast dot product calculation for the web platform.
Calculate the dot product of two vectors.
Calculate the dot product of two double-precision floating-point vectors.
Calculate the dot product of two single-precision floating-point vectors.
Vector dot-product scoring — find semantically related content without a dedicated database.
Calculate the dot product of two vectors.
Compute the dot product of two one-dimensional ndarrays.
Compute the dot product of two one-dimensional single-precision floating-point ndarrays.
Compute the dot product of two one-dimensional double-precision floating-point ndarrays.
Calculate the dot product of two single-precision floating-point vectors with extended accumulation.
Calculate the dot product with extended accumulation and result of two single-precision floating-point vectors.
Returns dot product of two 2D ndarrays
90deg is an OISC around vector dot product and addition
Calculate the dot product of two double-precision floating-point vectors.
Calculate the dot product of two single-precision floating-point vectors.
TurboQuant WASM SIMD vector compression — 3 bits/dim with fast dot product. Requires relaxed SIMD (Chrome 114+, Firefox 128+, Safari 18+, Node 20+)
Compute the dot product of `x` and `y`.
Computes the dot product of x and y.
Dot product accelerated by WebAssembly
Compute the dot product of `x` and `y`.
Get, set, or delete a property from a nested object using a dot path
AVX-512-accelerated u8 dot product with runtime CPU dispatch
Attention mechanisms for ruvector - geometric, graph, and sparse attention
Portable mixed-precision BLAS-like vector math library for x86 and ARM
(more or less) accurate floating point algorithms
Provides the dot product trait and auto implements the inner space trait, which contains a bunch of useful functions for working with vectors
SIMD-accelerated vector similarity primitives with binary, ternary, and scalar quantization
A simple 3D math library
A simple 3D math library
1-bit Q1_0_g128 compute kernels (dequant, GEMV, GEMM) for OxiBonsai
Pure Rust 1-bit LLM inference engine for PrismML Bonsai models — CLI
An absurdly fast embedded graph database. Pure Rust, sub-microsecond reads.
Node.js bindings for ruvector-attention
A Numeric-like vector space implementation for Ruby. Perform arithmetic on heterogeneous objects, calculate norms and dot products, get hash-like access to components, and seamlessly interoperate with core numbers. Zero dependencies, pure Ruby.
Proper related posts plugin for Jekyll - uses document correlation matrix on TF-IDF (optionally with Latent Semantic Indexing). Each document is tokenized and stemmed, every word found is treated as keyword for analysis (except for some stop words). TF-IDF matrix for the whole site is calculated (including extra provided weights), then if given accuraccy is lower than 1.0, LSI algorithm is used to compute new simplified vector space. Document correlation matrix is created using dot product of the matrix and its transpose. For each of the post' related documents are inserted into priority queue (sorted by score from document correlation matrix), assuming the score is greater than minimal required score. Selected few bests related posts are retrieven from the queue. Liquid template for each post is rendered and <related-posts /> is replaced with the outcomes of algorithm.
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