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Milvus is a powerful vector database tailored for processing and searching extensive vector data. It stands out for its high performance and scalability, rendering it perfect for machine learning, deep learning, similarity search tasks, and recommendation systems.
Milvus is a high-performance vector database built for scale. It is used by AI applications to organize and search through large amount of unstructured data, such as text, images, and multi-modal information. Milvus is implemented with Go and C++ and employs CPU/GPU instruction-level optimization for best vector search performance.
Welcome to Milvus Docs! Here you will learn about what Milvus is, and how to install, use, and deploy Milvus to build an application according to your business need. Try Managed Milvus For Free!
How does Milvus work in a nutshell? Milvus is structured around a multi-layered architecture designed to efficiently handle and process vector data, ensuring scalability, tunability, and data isolation. Here's a simplified overview of its architecture: Access Layer
Milvus is renowned as one of the most advanced vector database platforms for AI applications. Rakuten Symphony engineers identified the Milvus Vector Database - an open source database which is horizontally scalable - as their platform of choice for LLM use and developing and maintaining AI applications."
Milvus is an open-source vector database built to power embedding similarity search and AI applications. Milvus makes unstructured data search more accessible, and provides a consistent user experience regardless of the deployment environment. Milvus 2.0 is a cloud-native vector database with storage and computation separated by design.
Milvus is a genus of medium-sized birds of prey. The genus was erected by the French naturalist Bernard Germain de Lacépède in 1799 with the red kite as the type species. [1] [2] The name is the Latin word for the red kite. [3]
Jul 31, 2021 · Ease of use: Milvus keeps improving its usability by providing cluster management tools, SDKs in multiple languages, deployment tools, operational tools, and more. To learn more about Milvus’ release plans, check out the Milvus Roadmap. Kudos to all Milvus community contributors, without whom Milvus 2.0 would not have been possible.
Milvus is a vector database that stores, indexes, and manages embedding vectors used for similarity search and retrieval augmented generation. It is developed to empower embedding similarity search and AI applications.
A cloud-native vector database, storage for next generation AI applications. Go 30.4k 2.9k. bootcamp Public. Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc. HTML 1.9k 580.