A cloud-native vector database, storage for next generation AI applications

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

Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

Open-source vector similarity search for Postgres

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​.

Statistical Machine Intelligence & Learning Engine

mlpack: a fast, header-only C++ machine learning library

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

Represent, send, store and search multimodal data

The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text

Fast Open-Source Search & Clustering engine × for Vectors & 🔜 Strings × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍

Scalable, Low-latency and Hybrid-enabled Vector Search in Postgres. Revolutionize Vector Search, not Database.

📝Awesome and classical image retrieval papers

Vald. A Highly Scalable Distributed Vector Search Engine

Collections of vector search related libraries, service and research papers

🛰️ An approximate nearest-neighbor search library for Python and Java with a focus on ease of use, simplicity, and deployability.

Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data

FAst Lookups of Cosine and Other Nearest Neighbors (based on fast locality-sensitive hashing)

TensorFlow Similarity is a python package focused on making similarity learning quick and easy.

Open source audio fingerprinting in .NET. An efficient algorithm for acoustic fingerprinting written purely in C#.