Attu

Attu is a management interface for Milvus vector databases that provides tools for data visualization, cluster monitoring, and backup management.

Attu provides a graphical interface for managing Milvus vector databases. Users connect to multiple Milvus clusters from a single deployment to browse collections, run vector searches, and manage backups. The tool supports real-time cluster health monitoring through a Prometheus metrics dashboard and topology visualization. An integrated AI agent assists with Milvus management tasks using natural language, supporting multiple LLMs like OpenAI, Anthropic Claude, and Google Gemini. The platform includes features for RBAC management, resource group configuration, and slow request analysis to identify bottlenecks.

Attu at a glance

Best for: Software engineer
Runs on: Web, macOS, Linux, Windows, Docker, Kubernetes
Pricing: Free
Released: December 2021
Category: AI coding tool
Website: github.com/zilliztech/attu

Key features

Multi-cluster connection and workspace management
Interactive data explorer for collections and entities
Real-time cluster health monitoring and metrics
Chat-driven management via an AI agent
Backup and restore operations for object storage
REST API playground for interactive testing
RBAC management for user and role control

Use it for

Browsing and editing Milvus collections and partitions
Running vector similarity searches with embedding providers
Monitoring cluster performance and resource allocation
Performing full and incremental backups to cloud storage

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