Attu is the official graphical user interface (GUI) for Milvus, the open-source vector database developed by Zilliz. It provides a user-friendly platform to interact with Milvus and Zilliz Cloud, allowing users to manage vector data, perform CRUD operations, and execute vector searches—all from a web browser. Attu simplifies the experience of working with high-dimensional data by offering visual tools for data import/export, system monitoring, and query execution. Whether you're deploying Milvus locally or on Kubernetes, Attu offers seamless integration and visualization capabilities to streamline your workflow.

Features

• Connect to Milvus: Easily link to Milvus or Zilliz Cloud instances.
• Visual Query Interface: Perform vector searches and queries directly from your browser.
• CRUD Operations: Create, read, update, and delete vector data with just a few clicks.
• Data Import/Export: Supports JSON and CSV formats for importing and exporting data.
• System View: Visualize internal Milvus stats and node architecture in a single dashboard.
• Kubernetes Deployment: Install Attu using Helm and deploy on Kubernetes clusters.
• Interactive Management: Manage collections, partitions, indexes, and search parameters visually.

Benefits

• Ease of Use: No need for command-line interaction—manage Milvus through a clean GUI.
• Time Efficiency: Rapid setup and intuitive controls reduce time spent on database operations.
• Data Transparency: Visual tools provide clear insights into system performance and data structure.
• Flexibility: Works with both local and cloud-based Milvus deployments.
• Developer Productivity: Ideal for prototyping, testing, and managing vector data in GenAI workflows.
• Scalability: Supports enterprise-grade deployments via Kubernetes.