Milvus 的 Attu 3.0 beta 让你用自然语言就能管理数据库，不只是问答，能直接执行操作，敏感操作还有二次确认，挺实用的。
Attu 3.0 beta 的 AI agent 能连接 50 多个 Milvus 工具，涵盖集合管理、数据操作、诊断和 RBAC。用户用自然语言描述需求，agent 自动调用对应工具执行，例如列出集合、创建带 schema 的集合、插入测试数据、运行向量搜索等。读操作直接返回结果，删除集合或修改权限等敏感操作会弹出确认对话框并显示参数。agent 支持本机部署，自带 OpenAI 兼容端点或 Gemini，所有调用记录（含工具名称、token 用量和失败信息）均可追溯。
𝗔 𝗹𝗼𝘁 𝗼𝗳 𝗱𝗮𝘁𝗮𝗯𝗮𝘀𝗲 𝗔𝗜 𝗳𝗲𝗮𝘁𝘂𝗿𝗲𝘀 𝘀𝘁𝗼𝗽 𝗮𝘁 𝗮𝗻𝘀𝘄𝗲𝗿𝗶𝗻𝗴 ...
𝗔 𝗹𝗼𝘁 𝗼𝗳 𝗱𝗮𝘁𝗮𝗯𝗮𝘀𝗲 𝗔𝗜 𝗳𝗲𝗮𝘁𝘂𝗿𝗲𝘀 𝘀𝘁𝗼𝗽 𝗮𝘁 𝗮𝗻𝘀𝘄𝗲𝗿𝗶𝗻𝗴 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀. 𝗔𝘁𝘁𝘂 𝟯.𝟬 𝗯𝗲𝘁𝗮 𝗴𝗼𝗲𝘀 𝗳𝘂𝗿𝘁𝗵𝗲𝗿: 𝗶𝘁𝘀 𝗮𝗴𝗲𝗻𝘁 𝗰𝗮𝗻 𝘁𝗮𝗸𝗲 𝗮𝗰𝘁𝗶𝗼𝗻. Attu 3.0's AI agent connects to 50+ Milvus tools across collections, data operations, diagnostics, and RBAC. 𝗬𝗼𝘂 𝗱𝗲𝘀𝗰𝗿𝗶𝗯𝗲 𝘄𝗵𝗮𝘁 𝘆𝗼𝘂 𝘄𝗮𝗻𝘁 𝗶𝗻 𝗻𝗮𝘁𝘂𝗿𝗮𝗹 𝗹𝗮𝗻𝗴𝘂𝗮𝗴𝗲, 𝗮𝗻𝗱 𝘁𝗵𝗲 𝗮𝗴𝗲𝗻𝘁 𝗰𝗮𝗹𝗹𝘀 𝘁𝗵𝗲 𝗿𝗶𝗴𝗵𝘁 𝘁𝗼𝗼𝗹𝘀 𝘁𝗼 𝗿𝘂𝗻 𝗶𝘁. You can ask it to list collections, create a collection with the right schema, insert test data, run a vector search, check cluster health, investigate slow search, inspect memory usage, compact a collection, or create a read-only user. 𝗔𝗰𝘁𝗶𝗼𝗻𝘀 𝗮𝗿𝗲 𝗴𝗮𝘁𝗲𝗱 𝗯𝘆 𝗿𝗶𝘀𝗸: • Read-only actions return results directly • Sensitive or destructive actions, such as dropping a collection or changing privileges, show a confirmation dialog with the exact parameters before anything runs • Every call is visible, including which tools ran, token usage, and any failures You bring your own LLM: github.com/zilliztech/att… Seek, Gemini, or any OpenAI-compatible endpoint. milvus.io/blog/attu-3-0-… ted locally, and no agent traffic is routed through a Zilliz-managed service. 𝗧𝗿𝘆 𝗶𝘁 𝗵𝗲𝗿𝗲: https://t.co/gzwdbjtXcF 𝗢𝗿 𝗿𝗲𝗮𝗱 𝗮𝗯𝗼𝘂𝘁 𝗵𝗼𝘄 𝗶𝘁 𝘄𝗼𝗿𝗸𝘀 𝗼𝗻 𝘁𝗵𝗲 𝗠𝗶𝗹𝘃𝘂𝘀 𝗯𝗹𝗼𝗴: https://t.co/Z37S2MmS29 💬 0 🔄 0 ❤️ 0 👀 53 ⚡