Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

Open Source alternative to Algolia + Pinecone and an Easier-to-Use alternative to ElasticSearch ⚡ 🔍 ✨ Fast, typo tolerant, in-memory fuzzy Search Engine for building delightful search experiences

Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database​.

Semantic cache for LLMs. Fully integrated with LangChain and llama_index.

Postgres for Search and Analytics

Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!

🧠 AI-powered enterprise search engine 🔎

🚀 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 🔍

Vald. A Highly Scalable Distributed Vector Search Engine

JVector: the most advanced embedded vector search engine

Collections of vector search related libraries, service and research papers

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 : ) 。**VideoPipe下一版本正在开发中，在保证跨平台、易上手的前提下，预计性能直逼deepstream等各硬件平台官方框架**。

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, C, and Swift, supporting f64, f32, f16 real & complex, i8, and binary vectors using SIMD for both x86 AVX2 & AVX-512 and Arm NEON & SVE 📐

🕸️🦀 A WASM vector similarity search written in Rust

An open-source, high-performance SQL vector database built on ClickHouse.

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。

Blazing fast framework for fine-tuning similarity learning models

All-pair set similarity search on millions of sets in Python and on a laptop