There are 37 repositories under similarity-search topic.
Semantic cache for LLMs. Fully integrated with LangChain and llama_index.
🚀 efficient approximate nearest neighbor search algorithm collections library written in Rust 🦀 .
Fast Open-Source Search & Clustering engine × for Vectors & 🔜 Strings × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍
Collections of vector search related libraries, service and research papers
TensorFlow Similarity is a python package focused on making similarity learning quick and easy.
Up to 200x Faster Inner Products and Vector Similarity — for Python, JavaScript, Rust, and C, supporting f64, f32, f16 real & complex, i8, and binary vectors using SIMD for both x86 AVX2 & AVX-512 and Arm NEON & SVE 📐
All-pair set similarity search on millions of sets in Python and on a laptop
Similarities: a toolkit for similarity calculation and semantic search. 相似度计算、匹配搜索工具包,支持亿级数据文搜文、文搜图、图搜图,python3开发,开箱即用。
一款简单好用的 跨平台/多语言的 相似向量/相似词/相似句 高性能检索引擎。欢迎star & fork。Build together! Power another !
😎 A curated list of awesome practical Metric Learning and its applications
ArcadeDB Multi-Model Database, one DBMS that supports SQL, Cypher, Gremlin, HTTP/JSON, MongoDB and Redis. ArcadeDB is a conceptual fork of OrientDB, the first Multi-Model DBMS. ArcadeDB supports Vector Embeddings.
An easy to use Neural Search Engine. Index latent vectors along with JSON metadata and do efficient k-NN search.
Elasticsearch plugin for nearest neighbor search. Store vectors and run similarity search using exact and approximate algorithms.
A tiny embedding database in pure Rust.
Must-read papers on deep learning to hash (DeepHash)
跨平台的视频结构化(视频分析)框架,觉得有帮助的请给个星星:)。
Spark library for generalized K-Means clustering. Supports general Bregman divergences. Suitable for clustering probabilistic data, time series data, high dimensional data, and very large data.
Go to: https://github.com/alexklibisz/elastiknn
Similar images search for PostgreSQL
This tool should help discover different patterns based on similarity measures in historical (financial) data
Code for ECCV2018 paper: Revisiting the Inverted Indices for Billion-Scale Approximate Nearest Neighbors