Milvus

High-performance vector database for AI applications and similarity search. Through Langdock’s integration, you can access and manage Milvus directly from your conversations.

Authentication: API Key Category: AI & Search Availability: All workspace plans

Available Actions

Search Collection — milvus.searchCollection

Searches the database for the most relevant information based on the query provided.

• Requires Confirmation: No

• Parameters:

  • query (VECTOR, Required): The query vector for similarity search

• Output: Returns array of similar vectors with their IDs, scores, and metadata

Common Use Cases

• Data Management Manage and organize your Milvus data

• Automation Automate workflows with Milvus

• Reporting Generate insights and reports

• Integration Connect Milvus with other tools

Best Practices

1

Getting Started

• Enable the Milvus integration in your workspace settings

• Authenticate using API Key

• Test the connection with a simple read operation

• Explore available actions for your use case

2

Important Considerations

• Ensure proper authentication credentials

• Respect rate limits and API quotas

• Review data privacy settings

• Test operations in a safe environment first

Troubleshooting

Issue	Solution
Authentication failed	Verify your API Key credentials
Rate limit exceeded	Reduce request frequency
Data not found	Check permissions and data availability
Connection timeout	Verify network connectivity

Support

For additional help with the Milvus integration, contact [email protected]

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Related integrations: Microsoft Teams · Miro