Milvus Database API: Watch Entities, Create a Collection

About this integration

Open-source vector database for storing and searching embedding data at scale. Use it from the workflow canvas with no custom glue script required.

This integration exposes 3 triggers, 4 search modules and 7 actions as workflow nodes. Authentication uses basic authentication.

How to connect

The credential form asks for Host, Port, Username, and Password.

Prefer the interactive builder form? Open it on the app page.

Paste your credentials once — WEXTL® stores them encrypted and reuses the connection across every workflow that needs it.

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Enter your credentials below. WEXTL stores them encrypted and uses them only to call the API on your behalf.

Connecting Milvus to WEXTL®

Field	Type	Help
HostRequired	url	The URI of your instance, including the protocol (e.g., http://localhost).
PortRequired	integer	The port of your instance. Defaults to 19530.
UsernameRequired	text	The username used to access your instance. Defaults to root.
PasswordRequired	password	The password used to access your instance.

Use it in workflow automation

Start with Watch Entities, then add Create a Collection.

The canvas below runs Watch Entities into Create a Collection — watch the video, then drop a node onto the canvas.

Select the Watch Entities trigger and the workflow fires automatically when the event occurs — no polling required.

Then add Insert Entities into a Collection as the next node. Branch, filter, or hand off to other integrations from there.

The integration includes 10 ready-made modules for database work — each run logs its inputs and outputs for debugging.

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Milvus workflow on the canvas: Watch Entities then Insert Entities into a Collection

Triggers, searches and actions

Use the tables below to inspect Milvus's 3 triggers, 4 search modules, and 7 actions.