Loading README.md +24 −8 Original line number Diff line number Diff line     Loading @@ -19,11 +19,11 @@ Milvus is an open source similarity search engine for massive feature vectors. D Milvus provides stable Python, Java and C++ APIs. Keep up-to-date with newest releases and latest updates by reading Milvus [release notes](https://milvus.io/docs/en/Releases/v0.4.0/). Keep up-to-date with newest releases and latest updates by reading Milvus [release notes](https://milvus.io/docs/en/Releases/v0.5.0/). - GPU-accelerated search engine - Heterogeneous computing Milvus uses CPU/GPU heterogeneous computing architecture to process feature vectors, and are orders of magnitudes faster than traditional databases. Milvus is designed with heterogeneous computing architecture for the best performance and cost efficiency. - Multiple indexes Loading @@ -31,14 +31,30 @@ Keep up-to-date with newest releases and latest updates by reading Milvus [relea - Intelligent resource management Milvus optimizes the search computation and index building according to your data size and available resources. Milvus automatically adapts search computation and index building processes based on your datasets and available resources. - Horizontal scalability Milvus expands computation and storage by adding nodes during runtime, which allows you to scale the data size without redesigning the system. Milvus supports online / offline expansion to scale both storage and computation resources with simple commands. - High availability Milvus is integrated with Kubernetes framework so that all single point of failures could be avoided. - High compatibility Milvus is compatible with almost all deep learning models and major programming languages such as Python, Java and C++, etc. - Ease of use Milvus can be easily installed in a few steps and enables you to exclusively focus on feature vectors. - Visualized monitor You can track system performance on Prometheus-based GUI monitor dashboards. ## Architecture   ## Get started Loading Loading
README.md +24 −8 Original line number Diff line number Diff line     Loading @@ -19,11 +19,11 @@ Milvus is an open source similarity search engine for massive feature vectors. D Milvus provides stable Python, Java and C++ APIs. Keep up-to-date with newest releases and latest updates by reading Milvus [release notes](https://milvus.io/docs/en/Releases/v0.4.0/). Keep up-to-date with newest releases and latest updates by reading Milvus [release notes](https://milvus.io/docs/en/Releases/v0.5.0/). - GPU-accelerated search engine - Heterogeneous computing Milvus uses CPU/GPU heterogeneous computing architecture to process feature vectors, and are orders of magnitudes faster than traditional databases. Milvus is designed with heterogeneous computing architecture for the best performance and cost efficiency. - Multiple indexes Loading @@ -31,14 +31,30 @@ Keep up-to-date with newest releases and latest updates by reading Milvus [relea - Intelligent resource management Milvus optimizes the search computation and index building according to your data size and available resources. Milvus automatically adapts search computation and index building processes based on your datasets and available resources. - Horizontal scalability Milvus expands computation and storage by adding nodes during runtime, which allows you to scale the data size without redesigning the system. Milvus supports online / offline expansion to scale both storage and computation resources with simple commands. - High availability Milvus is integrated with Kubernetes framework so that all single point of failures could be avoided. - High compatibility Milvus is compatible with almost all deep learning models and major programming languages such as Python, Java and C++, etc. - Ease of use Milvus can be easily installed in a few steps and enables you to exclusively focus on feature vectors. - Visualized monitor You can track system performance on Prometheus-based GUI monitor dashboards. ## Architecture   ## Get started Loading
