From 8752cae5ee9dc1a2f94869b6a585bdc015f4dab9 Mon Sep 17 00:00:00 2001 From: LocoRichard Date: Sat, 8 May 2021 18:37:16 +0800 Subject: [PATCH] Create README.md (#5152) readme update Signed-off-by: LocoRichard --- README.md | 53 ++++++++++++++++++++++++++++++----------------------- 1 file changed, 30 insertions(+), 23 deletions(-) diff --git a/README.md b/README.md index 81b53566f2..feaa391cf2 100644 --- a/README.md +++ b/README.md @@ -6,6 +6,7 @@ +
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-Take a quick look at our demos! +Click to take a quick look at our demos!
@@ -68,37 +71,41 @@ -Milvus is an AI-infused database geared towards (embedding) vector similarity search. Milvus is dedicated to lowering the bar for unstructured data search and providing a consistent user experience regardless of users' deployment environment. + +Milvus is an open-source vector database built to power AI applications and embedding similarity search. Milvus makes unstructured data search more accessible, and provides a consistent user experience regardless of the deployment environment. Milvus was released under the open-source Apache License 2.0 in October 2019. It is currently an incubation-stage project under [LF AI & Data Foundation](https://lfaidata.foundation/). -- **Functionality-level Autoscaling** +- **Blazing Fast** -With the main functionalities implemented equivalent among nodes, Milvus is able to autoscale at the functionality level, providing the foundation for a more efficient resource scheduling. +Average latency measured in milliseconds on ten million vector datasets. -- **Hybrid Search** +Supports CPU SIMD, GPU, and FPGA accelerations, fully utilizing available hardware resources to achieve cost efficiency. -In addition to vectors, basic numeric types, such as boolean, integer, floating-point number, etc, are introduced in Milvus. Search for data from hybrid fields are now supported in the Milvus collection. +- **Easy to Use** -- **Combined Data Storage** +Rich APIs designed for data science workflows. -Milvus has reinforced its support for both streaming and batch data persistence and for the adaptation of alternative message/storage engines, in response to users' increasing demand for high database throughput. +Consistent cross-platform UX from laptop, to local cluster, to cloud. -- **Multiple Indexes in a Single Field** +Embed real-time search and analytics into virtually any application. -Milvus now supports multiple indexes in a single vector filed, and it decouples indexing from querying. Users are allowed to maintain multiple indexes simultaneously and switch flexibly among them according to their needs. +- **Stable and Resilient** -> **IMPORTANT** The master branch is for the development of Milvus v2.0. On March 9th, 2021, we released Milvus v1.0 which is our first stable version of Milvus with long-term support. To try out Milvus v1.0, switch to [branch 1.0](https://github.com/milvus-io/milvus/tree/1.0). +Milvus’ built-in replication and failover/failback features ensure data and applications can maintain business continuity in the event of a disruption. + +- **High Elasticity** + +Component-level scalability makes it possible to only scale where necessary. + +- **Community Backed** + +With over 1,000 enterprise users, 5,000+ stars on GitHub, and an active open-source community, you’re not alone when you use Milvus. + +> **IMPORTANT** The master branch is for the development of Milvus v2.0. On March 9th, 2021, we released Milvus v1.0, the first stable version of Milvus with long-term support. To use Milvus v1.0, switch to [branch 1.0](https://github.com/milvus-io/milvus/tree/1.0). ## Getting Started -### To install a Milvus stand-alone - -See [Install Milvus Standalone](). - -### To install a Milvus cluster - -See [Install Milvus Cluster](). ### Demos @@ -118,28 +125,28 @@ For documentation about Milvus, see [Milvus Docs](https://milvus.io/docs/overvie ### SDK -The implemented SDK and its API document are listed below: +The implemented SDK and its API documentatation are listed below: - [Python](https://github.com/milvus-io/pymilvus/tree/1.x) ### Recommended Articles - [What is an embedding vector? Why and how does it contribute to the development of Machine Learning?](https://milvus.io/docs/v1.0.0/vector.md) -- [What types of vector index does Milvus support? Which should I choose?](https://milvus.io/docs/v1.0.0/index.md) +- [Which vector indexes does Milvus support? Which should I choose?](https://milvus.io/docs/v1.0.0/index.md) - [How does Milvus compare the distance between vectors?](https://milvus.io/docs/v1.0.0/metric.md) - You can learn more in [Milvus Server Configurations](https://milvus.io/docs/v1.0.0/milvus_config.md). ## Contact -Join the Milvus community on [Slack Channel](https://join.slack.com/t/milvusio/shared_invite/zt-e0u4qu3k-bI2GDNys3ZqX1YCJ9OM~GQ) to share your suggestions, advice, and questions with our engineer team. You can also ask for help at our [FAQ page](https://milvus.io/docs/v1.0.0/performance_faq.md). +Join the Milvus community on [Slack Channel](https://join.slack.com/t/milvusio/shared_invite/zt-e0u4qu3k-bI2GDNys3ZqX1YCJ9OM~GQ) to share your suggestions, advice, and questions with our engineering team. You can also submit questions to our [FAQ page](https://milvus.io/docs/v1.0.0/performance_faq.md). -You can subscribe to our mailing lists at: +Subscribe to our mailing lists: - [Milvus Technical Steering Committee](https://lists.lfai.foundation/g/milvus-tsc) - [Milvus Technical Discussions](https://lists.lfai.foundation/g/milvus-technical-discuss) - [Milvus Announcement](https://lists.lfai.foundation/g/milvus-announce) -and follow us on social media: +Follow us on social media: - [Milvus Medium](https://medium.com/@milvusio) - [Milvus CSDN](https://zilliz.blog.csdn.net/)