โ03-06-2024 05:51 AM - edited โ03-06-2024 05:53 AM
Vector Search Index Sync fails in Initializing. This index table was already up and running, and when I tried to sync it, it failed in Initializing. See the attached.
โ03-07-2024 01:15 AM
Hi @tiho, I understand that youโre encountering issues with the Vector Search Index in Azure Databricks.
Letโs troubleshoot this together.
Temporary Issue: It appears that youโre not alone in experiencing this problem. Other users have reported similar issues, and in some cases, it resolved itself after a period of time. For instance, one user mentioned that the issue was resolved within 48 hours without any changes mad...1. So, it might be a temporary glitch with Databricks.
Region and Provisioning: You mentioned that youโre using Azure Databricks in the West Europe region. Sometimes, the provisioning process can take longer due to various factors. However, if this persists, consider the following steps:
Delta Sync Index: When creating a Vector Search Index, there are two types: Delta Sync Index and Non-Delta Sync Index. The Delta Sync Index automatically syncs with a source Delta Table, incrementally updating the index...2. Make sure youโre using the appropriate type for your use case.
Python SDK and REST API: You mentioned using both the UI and the Python VectorSearchClient. If the UI is not working as expected, try creating the index programmatically using the Python SDK or the REST API. This might provide additional insights into any issues.
โ04-02-2024 07:19 PM
Were you able to resolve this issue? I am facing the same issue right now - I am on AWS.
โ07-29-2024 03:47 AM
We are still running in the same issue. On Azure in Westeurope Region. Any updates?
โ07-30-2024 07:39 AM
I'm having a similar issue - it's stuck at "Waiting for initial sync...".
Nothing is happening, I'm not getting any requests on the embedding endpoint.
โ07-31-2024 01:50 AM
The issue for us was most likely that we used CPU compute for the deployed embedding model, switching to GPU (small) solved the issue.
Join a Regional User Group to connect with local Databricks users. Events will be happening in your city, and you wonโt want to miss the chance to attend and share knowledge.
If there isnโt a group near you, start one and help create a community that brings people together.
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