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milvus-io/milvus ★ 46257 4271 APPLICATION

Milvus is a high-performance, distributed vector database designed for AI applications such as vector similarity search, RAG pipelines, and hybrid search (dense + sparse). It follows a microservices architecture with components like proxy, rootcoord, datacoord, querycoord, datanode, querynode, indexnode, and streamingnode. The system uses a Write-Ahead Log (WAL) with multiple backends (RocksMQ, Kafka, Pulsar, Woodpecker) for real-time ingestion, and a C++ execution engine (segcore) for vector indexing and query processing. It supports a wide range of index types (IVF, HNSW, DiskANN, SCANN, etc.), scalar indices, full-text search via Tantivy (Rust), and advanced features like CDC replication, RBAC, and multi-tenancy. The codebase is primarily Go and C++, with Python test suites and Rust bindings. It is actively maintained with frequent commits, extensive tests, and a robust client SDK.

RATING: 9.0/10 MAINT: active DRIFT: medium
#vector-database #distributed-systems #search-engine #golang #cpp #microservices #ai-infrastructure #streaming-wal #anns #nearest-neighbor-search #faiss #vector-search #image-search #hnsw #embedding-database #embedding-store #vector-store #vector-similarity #embedding-similarity #distributed #llm #cloud-native #diskann #rag
▸ 4 reusable components found
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