Milvus
Open-source vector database built to power embedding similarity search and AI applications
About Milvus
Milvus is an open source vector database designed for similarity search and retrieval across large collections of high-dimensional data. Developers use it to store and search vector embeddings generated from text, images, audio, and other unstructured data, enabling applications to retrieve content based on semantic similarity. The database supports vector indexing, metadata filtering, hybrid search, and multiple deployment modes, from lightweight local development to distributed Kubernetes clusters. Milvus can serve as a retrieval layer for generative AI, recommendation systems, image search, semantic search, and other applications that need fast access to relevant data at scale. For engineering teams looking for a vector database, AI search infrastructure, embedding storage, and scalable similarity search for RAG applications, Milvus provides an open source foundation with a managed cloud option. Its tools help developers build retrieval systems that connect AI models with relevant information from their own datasets.
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