attu/README.md

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.

Features and Roadmap

Milvus insight is under rapid development nad we are adding new features weekly, here are the current plan, we will release a version once a feature is available.

• Manage collections/partitions
• Manage index
• Basic statistics overview
• Load/release collections for search
• Insert entities
• Vector search with advanced filter(TBD)
• Milvus cluster info topology view(TBD)
• View milvus node configuration(TBD)
• Data view (TBD)
• more...

Quick start

Before you start

Ensure you have Milvus installed on your server or cluster, and Milvus insight only supports Milvus 2.x.

⭐️ Install Milvus insight

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://127.0.0.1:8000, 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.

Userful links

• Milvus installation guide
• Milvus python sdk
• Milvus bootcamp

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.