What are the possible causes of a Deadline error when embedding a video using Google Vertex AI multimodal embedding model and how can it be resolved

Question

With the help of proper code explanation can you tell me What are the possible causes of a "Deadline" error when embedding a video using Google Vertex AI multimodal embedding model, and how can it be resolved?

Answer 1

To resolve Deadline Exceeded, optimize the request, adjust timeout settings, or use asynchronous processing.

Here is the code snippet you can refer to:

In the above code we are using the following points:

• Handles API Timeout Errors: Catches DEADLINE_EXCEEDED and retries after a short delay.
• Increases Timeout Limits: Sets a higher timeout (300 seconds) for long video processing.
• Uses Vertex AI’s Matching Engine: Ensures efficient video embedding retrieval.
• Implements Retry Mechanism: Prevents failures by automatically retrying failed requests.

Hence, to resolve Deadline errors in Vertex AI video embedding, optimize video size, increase timeout limits, and implement retry mechanisms to handle processing delays effectively.