zilliztech/attu

What it solves

Attu provides a visual management interface for Milvus vector databases, eliminating the need to interact with the database solely through SDKs or APIs. It simplifies complex operations like collection management, vector similarity searches, and cluster monitoring for developers and database administrators.

How it works

Attu acts as a management layer that connects to one or more Milvus clusters (including Zilliz Cloud). It offers a web-based or desktop application where users can visually browse data, configure schemas, run queries, and manage backups. It also integrates an AI agent that allows users to manage the database using natural language commands.

Who it’s for

AI engineers, data scientists, and DevOps engineers who use Milvus for vector storage and retrieval, and need a GUI for data exploration, cluster health monitoring, and administrative tasks.

Highlights

• Multi-Cluster Management: Manage multiple dev, staging, and production environments from a single instance.
• AI Agent: A chat-driven interface with 50+ tools to create collections and analyze performance via natural language.
• Data Explorer: Visual browsing and inline editing of collections with support for CSV, JSON, and Parquet formats.
• Vector Search: Interactive similarity search with integrated embedding providers like OpenAI and Cohere.
• Cluster Monitoring: Real-time health dashboards with Prometheus metrics and interactive topology visualization.
• Backup & Restore: Full and incremental backup support for S3, MinIO, GCS, and Azure Blob Storage.