Show HN: A Python container for dataclasses with multi-indexing and vector opps
Points: 122 | Comments: 14 | Author: joshlk
Points: 122 | Comments: 14 | Author: joshlk
A Vector Store written in Go - Supports hybrid retrieval over BM25, Flat, HNSW, IVF, PQ and IVFPQ Index with Quantization, Metadata Filtering, Reranking, Reciprocal Rank Fusion, Soft Deletes, Index Rebuilds and much much more (⭐ 106)
word a vector in a multidimensional space. The similarity is calculated based on the cosine similarity between the vectors of the guessed word and the
FP16 and BF16 data types, Euclidean distance, inner product distance and cosine distance support for floating-point data, Hamming distance and jaccard distance
I was building a context-based Q/A project and am trying to use **BERT embeddings** for generating sentence and question vectors. Suppose that if the ques is - 'How does covid-19 spread?' and for sear...
compute what they refer to as "semantic relatedness" by means of cosine similarity between the aforementioned vectors, collectively interpreted as a
Mar 18, 2025 · Spinors are mathematical objects used to describe the quantum states of particles like electrons. Unlike vectors, which you might be more familiar with, spinors have unique properties that …
Non-relativistic quantum description of particles with spin. The operator associated with the spin of a particle is a vector observable. Its components satisfy the commutation relations that define an …
This means that a spinor essentially consists of two parts: (1) a vector — which describes the flagpole; and (2) an additional direction, perpendicular to the flag pole — which represents the flag.
In geometry and physics, spinors (pronounced "spinner" IPA / spɪnər /) are elements of a complex vector space that can be associated with Euclidean space.
In geometry and physics, spinors (pronounced "spinner" IPA / spɪnər /) are elements of a complex vector space that can be associated with Euclidean space.
taking value 1 at all points of S. Perfect lattices were introduced by Korkine & Zolotareff (1877). A strongly perfect lattice is one whose minimal vectors
combinatorics, the Gale transform turns the vertices of any convex polytope into a set of vectors or points in a space of a different dimension, the Gale diagram
Feb 14, 2026 · When normals are considered on closed surfaces, the inward-pointing normal (pointing towards the interior of the surface) and outward-pointing normal are usually distinguished.
Like vectors, normals are represented by three components x, y, and z; they can be added and subtracted to compute new normals; and they can be scaled and normalized. However, a normal …
In geometry, a normal is an object (e.g. a line, ray, or vector) that is perpendicular to a given object. For example, the normal line to a plane curve at a given point is the infinite straight line perpendicular to …
In composite Higgs models light fermionic top partners often play an important role in obtaining a 126 GeV Higgs mass. The presence of these top partners implies that coloured vector mesons, or massive gluon partners, most likely exist. Since the cou...
This paper describes a study of B meson decays to the pseudoscalar-vector final state ρπusing 31.9\times 10^6 B\bar{B} events collected with the Belle detector at KEKB. The branching fractions B(B^+ \to ρ^0π^+) = (8.0^{+2.3+0.7}_{-2.0-0.7}) \ti...
Image vectorization aims to convert raster images into editable, scalable vector representations while preserving visual fidelity. Existing vectorization methods struggle to represent complex real-world images, often producing fragmented shapes at th...
A Rust runtime that unifies relational tables, graph relationships, and vector embeddings in a single tensor-based storage layer with distributed consensus and semantic search (⭐ 73)