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Search systems that combine multiple retrieval methods, such as vector and keyword search.
Distinguishing note: Focuses on the multi-modal retrieval strategy.
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Milvus is a specialized vector database engine designed for the indexing, management, and high-speed similarity retrieval of high-dimensional vector embeddings. It functions as a similarity search engine capable of identifying nearest neighbors within large-scale vector spaces, supporting the storage and retrieval of billions of data points while maintaining consistent performance. The system utilizes a distributed architecture that decouples storage, query, and coordination into independent services, allowing for horizontal scaling across clusters. It employs a global indexing mechanism that
Implements hybrid search capabilities to combine vector similarity with other retrieval methods.