[how-to-query-vertex-ai-search-cloud-run-service]: Datastore_ID
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Assessment
- Difficulty
- 1/5
- Estimated time
- Under an hour
- Newbie friendliness
- 72/100
- Issue type
- Documentation
- Clarity
- Clearly specified
- Activity status
- Quiet
- Tech stack
- google-cloud
- Domain
- documentation
Research direction
Open the linked Vertex AI Search and Cloud Run codelab and go to section 4, “Setup environment variables.” Check the SEARCH_ENGINE_ID instruction against the reported Datastore_ID and “Datastore name” distinction; done means the codelab clearly tells users which value to use and avoids the reported rebuild and datastore-not-found errors.
Written by the indexing model from the issue text.
Description
Hi,
I am running this codelab, and I spent a few minutes to notice that SEARCH_ENGINE_ID should be the datastore_ID (and not the "Datastore name", which is something else in GCP).
It can seem obvious but I choosed to follow the lab's instruction then I had few errors when rebuilding the service in Cloud run + few 404-datastore-not-found with the CURL request...
Link: https://codelabs.developers.google.com/codelabs/how-to-query-vertex-ai-search-cloud-run-service#4
Section: Setup environment variables
update with your data store name
SEARCH_ENGINE_ID=
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- Stars
- 30
- Forks
- 60
- PR merge metrics
- No merged PRs in 30d
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