GH Repository · milvus-io
milvus
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
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llmgolanggoragannsGodistributedcloud-nativenearest-neighbor-searchfaissimage-searchmakedockervector-databasevector-searchhnswembedding-databasediskannembedding-storevector-similarityvector-storeembedding-similarity
Milvus is a cloud-native vector database built for scalable approximate nearest neighbor (ANN) search over embeddings. It is written in Go, distributed in design, and supports index types such as HNSW, DiskANN, and FAISS-based search.
You reach for it when you need to store and query large volumes of embeddings at scale, such as for RAG pipelines or similarity search.
Use it to
- Store and query embedding vectors for RAG retrieval
- Run distributed nearest-neighbor search over large datasets
- Build image or embedding similarity search
- Index vectors with HNSW or DiskANN for fast ANN queries
For Engineers building search, RAG, or embedding-based applications
- Role
- rag
- Language
- Go
- Licence
- Apache-2.0
- Forks
- 4,253
- Open issues
- 998
- Last push
- 2026-09-15
- Latest release
- v0.5.0 · 2019-10-21
topicsvector-databaseann-searchembeddingsdistributedragcloud-native