mirror of https://github.com/milvus-io/milvus.git
update key features
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README.md
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README.md
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# Welcome to Milvus
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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:
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## What is Milvus
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Milvus is an open source vector search engine which provides state-of-the-art similarity search and analysis for billion-scale feature vectors.
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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.
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Milvus provides stable Python, Java and C++ APIs.
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@ -27,20 +25,20 @@ Keep up-to-date with newest releases and latest updates by reading Milvus [relea
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Milvus uses CPU/GPU heterogeneous computing architecture to process feature vectors, and are orders of magnitudes faster than traditional databases.
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- Various indexes
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- Multiple indexes
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Milvus supports quantization indexing, tree-based indexing, and graph indexing algorithms.
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Milvus supports a variety of indexing types that employs quantization, tree-based, and graph indexing techniques.
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- Intelligent scheduling
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- Intelligent resource management
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Milvus optimizes the search computation and index building according to your data size and available resources.
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- Horizontal scalability
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- Horizontal scalability
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Milvus expands computation and storage by adding nodes during runtime, which allows you to scale the data size without redesigning the system.
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## Architecture
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![Milvus_arch](https://github.com/milvus-io/docs/blob/branch-0.5.0/assets/milvus_arch.jpg)
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![Milvus_arch](https://github.com/milvus-io/docs/blob/master/assets/milvus_arch.jpg)
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## Get started
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@ -117,20 +115,20 @@ To edit Milvus settings in `conf/server_config.yaml` and `conf/log_config.conf`,
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#### Run Python example code
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Make sure [Python 3.4](https://www.python.org/downloads/) or higher is already installed and in use.
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Make sure [Python 3.5](https://www.python.org/downloads/) or higher is already installed and in use.
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Install Milvus Python SDK.
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```shell
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# Install Milvus Python SDK
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$ pip install pymilvus==0.2.0
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$ pip install pymilvus==0.2.3
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```
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Create a new file `example.py`, and add [Python example code](https://github.com/milvus-io/pymilvus/blob/master/examples/AdvancedExample.py) to it.
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Run the example code.
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```python
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```shell
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# Run Milvus Python example
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$ python3 example.py
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```
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