mlpack: a fast, header-only C++ machine learning library
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Updated
May 18, 2024 - C++
mlpack: a fast, header-only C++ machine learning library
Statistical Machine Intelligence & Learning Engine
Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
The AI-native database built for LLM applications, providing incredibly fast full-text and vector search
A cloud-native vector database, storage for next generation AI applications
hnswlib-node provides Node.js bindings for Hnswlib
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.
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
Scalable, Low-latency and Hybrid-enabled Vector Search in Postgres. Revolutionize Vector Search, not Database.
Elasticsearch plugin for nearest neighbor search. Store vectors and run similarity search using exact and approximate algorithms.
Rcpp bindings for the approximate nearest neighbors library hnswlib
Cloud-native vector similarity search and storage with efficient, serverless scale-out
Open source audio fingerprinting in .NET. An efficient algorithm for acoustic fingerprinting written purely in C#.
A curated list of awesome works related to high dimensional structure/vector search & database
Fast Open-Source Search & Clustering engine × for Vectors & 🔜 Strings × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍
Approximate nearest neighbour search for microbial genomes based on hash metric
Machine Learning Algorithms in Fortran
Vald. A Highly Scalable Distributed Vector Search Engine
Shotit is a screenshot-to-video search engine tailored for TV & Film, blazing-fast and compute-efficient.
A Python nearest neighbor descent for approximate nearest neighbors
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