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Milvus insight

Milvus insight provides an intuitive and efficient GUI for Milvus, allowing you to interact with your databases and manage your data with just few clicks.

⭐️ Install

Start Docker container and map the url to the container:

docker run -p 8000:3000 -e HOST_URL=http://127.0.0.1:8000 -e MILVUS_URL=127.0.0.1:19530 milvusdb/milvus-insight:latest

Parameters	Default	required	description
HOST_URL	http://127.0.0.1:8000	true	Docker host url
MILVUS_URL	127.0.0.1:19530	false	Milvus server url

Once you start the docker, open the browser, type http://127.0.0.1:3000, you can view the milvus insight.

✨ Building and Running Milvus insight, and/or Contributing Code

You might want to build Milvus-insight locally to contribute some code, test out the latest features, or try out an open PR:

Build server

1. Fork and clone the repo
2. cd server go to the server directory
3. $ yarn install to install dependencies
4. Create a branch for your PR

Build client

1. Fork and clone the repo
2. cd client go to the client directory
3. $ yarn install to install dependencies
4. Create a branch for your PR

Milvus

New to milvus? Milvus is an open-source vector database built to power AI applications and embedding similarity search.

• Milvus installation guide
• Milvus python sdk
• Milvus bootcamp

📖 Documentation

TBD

Community

👉 Join the Milvus community on Slack to share your suggestions, advice, and questions with our engineering team.

<img src="https://zillizstorage.blob.core.windows.net/zilliz-assets/zilliz-assets/assets/readme_slack_4a07c4c92f.png" alt="Miluvs Slack Channel"  height="150" width="500">

❓ Questions? Problems?

• If you've found a bug or want to request a feature, please create a GitHub Issue. Please check to make sure someone else hasn't already created an issue for the same topic.
• Need help using Milvus insight? Ask away on our Milvus insight Discuss Forum and a fellow community member or Milvus engineer will be glad to help you out.