From a20ec5cd0a866c834bfac29b24f00011ec7fe301 Mon Sep 17 00:00:00 2001 From: jielinxu Date: Tue, 22 Oct 2019 17:06:02 +0800 Subject: [PATCH 1/2] update key features Former-commit-id: 901f8c89426439afe6c41f50a053b6035fe8758a --- README.md | 20 +++++++++----------- 1 file changed, 9 insertions(+), 11 deletions(-) diff --git a/README.md b/README.md index 9c11af94da..255b255340 100644 --- a/README.md +++ b/README.md @@ -13,11 +13,9 @@ # Welcome to Milvus -Firstly, welcome, and thanks for your interest in [Milvus](https://milvus.io)! ​​No matter who you are, what you do, we greatly appreciate your contribution to help us reinvent data science with Milvus.​ :beers: - ## What is Milvus -Milvus is an open source vector search engine which provides state-of-the-art similarity search and analysis for billion-scale feature vectors. +Milvus is an open source similarity search engine for massive feature vectors. Designed with heterogeneous computing architecture for the best cost efficiency. Searches over billion-scale vectors take only milliseconds with minimum computing resources. Milvus provides stable Python, Java and C++ APIs. @@ -27,20 +25,20 @@ Keep up-to-date with newest releases and latest updates by reading Milvus [relea Milvus uses CPU/GPU heterogeneous computing architecture to process feature vectors, and are orders of magnitudes faster than traditional databases. -- Various indexes +- Multiple indexes - Milvus supports quantization indexing, tree-based indexing, and graph indexing algorithms. + Milvus supports a variety of indexing types that employs quantization, tree-based, and graph indexing techniques. -- Intelligent scheduling +- Intelligent resource management Milvus optimizes the search computation and index building according to your data size and available resources. -- Horizontal scalability +- Horizontal scalability Milvus expands computation and storage by adding nodes during runtime, which allows you to scale the data size without redesigning the system. ## Architecture -![Milvus_arch](https://github.com/milvus-io/docs/blob/branch-0.5.0/assets/milvus_arch.jpg) +![Milvus_arch](https://github.com/milvus-io/docs/blob/master/assets/milvus_arch.jpg) ## Get started @@ -117,20 +115,20 @@ To edit Milvus settings in `conf/server_config.yaml` and `conf/log_config.conf`, #### Run Python example code -Make sure [Python 3.4](https://www.python.org/downloads/) or higher is already installed and in use. +Make sure [Python 3.5](https://www.python.org/downloads/) or higher is already installed and in use. Install Milvus Python SDK. ```shell # Install Milvus Python SDK -$ pip install pymilvus==0.2.0 +$ pip install pymilvus==0.2.3 ``` Create a new file `example.py`, and add [Python example code](https://github.com/milvus-io/pymilvus/blob/master/examples/AdvancedExample.py) to it. Run the example code. -```python +```shell # Run Milvus Python example $ python3 example.py ``` From 4ef86b2ff812a8d7074fe0cd35de27533a1e58b1 Mon Sep 17 00:00:00 2001 From: jielinxu Date: Tue, 22 Oct 2019 17:11:55 +0800 Subject: [PATCH 2/2] minor change Former-commit-id: 9e7e01ef8168c1c7d4f25fc67d9238fb1ef2ad4c --- README.md | 32 ++++++++++++++++++++++++-------- 1 file changed, 24 insertions(+), 8 deletions(-) diff --git a/README.md b/README.md index 255b255340..153969bdde 100644 --- a/README.md +++ b/README.md @@ -1,4 +1,4 @@ -![Milvuslogo](https://github.com/milvus-io/docs/blob/branch-0.5.0/assets/milvus_logo.png) +![Milvuslogo](https://github.com/milvus-io/docs/blob/master/assets/milvus_logo.png) ![LICENSE](https://img.shields.io/badge/license-Apache--2.0-brightgreen) ![Language](https://img.shields.io/badge/language-C%2B%2B-blue) @@ -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 @@ -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 +- 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 -![Milvus_arch](https://github.com/milvus-io/docs/blob/master/assets/milvus_arch.jpg) +![Milvus_arch](https://github.com/milvus-io/docs/blob/master/assets/milvus_arch.png) ## Get started