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A cloud-native vector database, storage for next generation AI applications
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Wang Xiangyu 1f5850a4a7 close lockfile when server stop (#3737) 
* close lockfile when server stop

Signed-off-by: Wang Xiangyu <xy.wang@zilliz.com>

* fix something error

Signed-off-by: Wang Xiangyu <xy.wang@zilliz.com>
Signed-off-by: shengjun.li <shengjun.li@zilliz.com>
 		2020-09-17 14:15:56 +08:00
.github Set a timeout for a whole job on Github action pipeline (#3745) 2020-09-15 19:24:28 +08:00
.jenkins/modules merge coverage.sh with run_unittest.sh (#3461) 2020-08-27 10:11:30 +08:00
.mergify Update mergify config 2020-09-11 10:12:23 +08:00
ci Fix build milvus images error (#3575) 2020-09-04 01:57:53 +00:00
core close lockfile when server stop (#3737) 2020-09-17 14:15:56 +08:00
docker fix #3672 0.11.0 docker image is 200M larger due to the un-expected installation of openblas (#3686) 2020-09-12 15:54:55 +08:00
docs [skip ci] Update README remove CN pages 2020-07-01 16:45:55 +08:00
sdk GET_PAGE_ENTITY sometimes failed in test_web (#3735) 2020-09-17 14:15:56 +08:00
shards fix: shards/requirements.txt to reduce vulnerabilities (#3457) 2020-08-26 10:53:08 +08:00
tests rename segment_row_count to segment_row_limit (#3724) 2020-09-17 14:15:56 +08:00
.all-contributorsrc docs: add aaronjin2010 as a contributor (#1089) 2020-01-17 19:03:38 +08:00
.clang-format format code by clang-tidy 2019-09-28 12:36:14 +08:00
.clang-tidy update clang-tidy rules (#3416) 2020-08-24 10:09:24 +08:00
.clang-tidy-ignore rename some compile virables 2019-10-15 17:06:05 +08:00
.codacy.yaml fix clang tidy warnings (#3362) 2020-08-20 18:34:44 +08:00
.codebeatignore Update code checker rule 2020-08-17 15:52:39 +08:00
.env enable build milvus on centos7 (#769) 2019-12-16 14:07:20 +08:00
.gitignore Developing a modular pipeline library to improve DevOps collaboration (#3282) 2020-08-18 16:03:36 +08:00
.hadolint.yaml Update build environment version to v0.9.0 (#2267) 2020-05-09 04:17:45 +00:00
CHANGELOG.md New operation named MultiSegmentsOperation support multi-segments during flush (#3733) 2020-09-17 14:15:56 +08:00
CODEOWNERS Update codeowners 2020-08-18 16:32:18 +08:00
CODE_OF_CONDUCT.md Fix Markdown format (#1485) 2020-03-03 00:25:22 +08:00
COMMUNITY.md [skip ci] Update COMMUNITY.md (#1862) 2020-04-03 11:28:19 +08:00
CONTRIBUTING.md merge coverage.sh with run_unittest.sh (#3461) 2020-08-27 10:11:30 +08:00
DESIGN.md add debug APIs and update GPU temp memory size (#2420) 2020-06-10 18:34:54 +08:00
INSTALL.md [skip ci] Updated INSTALL.md. (#3016) 2020-07-26 01:36:03 +08:00
LICENSE Initial commit 2019-09-16 14:43:44 +08:00
NOTICE.md add NGT index (#3555) 2020-09-05 14:09:17 +08:00
OSSMETADATA add osstracker badge to README.md 2020-02-24 05:48:43 +08:00
README.md [skip ci] Fixed broken links. (#3304) 2020-08-18 17:42:49 +08:00
README_CN.md [skip ci] Fixed broken links. (#3304) 2020-08-18 17:42:49 +08:00
RELEASE.md Fix Markdown format (#1485) 2020-03-03 00:25:22 +08:00
SECURITY.md Fix Markdown format (#1485) 2020-03-03 00:25:22 +08:00
SUPPORT.md Fix Markdown format (#1485) 2020-03-03 00:25:22 +08:00
codecov.yaml Flag the upload to group coverage metrics 2020-01-15 11:19:31 +08:00
docker-compose.yml Cache dependencies to speed up GitHub Action workflows (#3501) 2020-08-29 10:02:55 +08:00

README.md

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What is Milvus

As an open source vector similarity search engine, Milvus is easy-to-use, highly reliable, scalable, robust, and blazing fast. Adopted by over 100 organizations and institutions worldwide, Milvus empowers applications in a variety of fields, including image processing, computer vision, natural language processing, voice recognition, recommender systems, drug discovery, and more.

The following is Milvus architecture:

arch For more detailed introduction of Milvus and its architecture, see Milvus overview. See Milvus release notes to keep up-to-date with its releases and updates.

Milvus is an LF AI Foundation incubation project.

Get started

Install Milvus

See Milvus install guide to install Milvus using Docker. To install Milvus from source code, see build from source.

Try example programs

Try an example program with Milvus using Python, Java, Go, or C++ example code.

Supported clients

Application scenarios

You can use Milvus to build intelligent systems in a variety of AI application scenarios. See Milvus Scenarios for live demos. You can also see Milvus Bootcamp for detailed solutions and application scenarios.

Benchmark

See our test reports for more information about performance benchmarking of different indexes in Milvus.

Roadmap

To learn what's coming up soon in Milvus, read our Roadmap.

It is a Work in Progress, and is subject to reasonable adjustments when necessary. And we greatly appreciate any comments/requirements/suggestions regarding Milvus' roadmap.👏

Contribution guidelines

Contributions are welcomed and greatly appreciated. Please read our contribution guidelines for detailed contribution workflow. This project adheres to the code of conduct of Milvus. You must abide by this code in order to participate.

We use GitHub issues to track issues and bugs. For general questions and public discussions, please join our community.

Join our community

❤️To connect with other users and contributors, welcome to join our Slack channel.

See our community repository to learn more about our governance and access more community resources.

Resources

License

Apache License 2.0