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Troubleshooting of Google Vertex AI Search: Difference between revisions
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Troubleshooting: Vertex AI Discovery Engine: Search Returns No Results
(Troubleshooting: Vertex AI Discovery Engine: Search Returns No Results) |
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=== Troubleshooting: Vertex AI Search: Path Format Error When Enabling Grounding === | === Troubleshooting: Vertex AI Search: Path Format Error When Enabling Grounding === | ||
Error encountered when enabling "Grounding with Vertex AI Search": | Error encountered when enabling "[https://cloud.google.com/vertex-ai/generative-ai/docs/grounding/grounding-with-vertex-ai-search Grounding with Vertex AI Search]": | ||
'''Error message:''' | '''Error message:''' | ||
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# {project_id}: `987654321000` (the number after `/projects/`) | # {project_id}: `987654321000` (the number after `/projects/`) | ||
# {location}: `global` (the string after `/locations/`) | # {location}: `global` (the string after `/locations/`) {{exclaim}} Note: Do not enter the [https://cloud.google.com/compute/docs/regions-zones geographic areas] of GCP server. You will met the error message e.g. "Invalid location in serving config: asia-east1" | ||
# {collection_name}: `default_collection` (the string after `/collections/`) | # {collection_name}: `default_collection` (the string after `/collections/`) | ||
# {datastore_name}: Found on the datastore overview page as "Datastore ID" (e.g., `XXX_1234567890123`) {{exclaim}} Note: The datastore_name is not visible in the engine URL - you need to check the datastore overview page to find the "Datastore ID". | # {datastore_name}: Found on the datastore overview page as "Datastore ID" (e.g., `XXX_1234567890123`) {{exclaim}} Note: The datastore_name is not visible in the engine URL - you need to check the datastore overview page to find the "Datastore ID". | ||
=== Troubleshooting: Vertex AI Discovery Engine: Search Returns No Results === | |||
Issue encountered when searching with keywords against a Vertex AI Discovery Engine Data Store: the query executes successfully but returns no content. | |||
'''Symptom:''' | |||
The API responds with empty result arrays: | |||
<pre> | |||
{ | |||
"attributionToken" : "xxxx", | |||
"guidedSearchResult" : [], | |||
"summary" : [], | |||
"semanticState" : "DISABLED" | |||
} | |||
</pre> | |||
'''Cause:''' The query syntax is correct, but the target website is outside the indexing scope of the Data Store specified by the Vertex API. For example, attempting to search <code>aaa.com</code> while the Data Store only indexes <code>example.com</code> will return no results, since the engine can only retrieve content it has actually crawled and indexed. | |||
'''Solution:''' Verify and expand the indexed website scope: | |||
# Navigate to https://console.cloud.google.com/gen-app-builder | |||
# Open the Data Store referenced by your Vertex API call | |||
# Check the configured website scope under the "Data" tab | |||
# Confirm whether the target domain (e.g., `aaa.com`) is included | |||
If the target domain is not covered, you must create a dedicated Data Store for it: | |||
# In '''GCP Console → Vertex AI Search''', create a new Data Store for `aaa.com` | |||
# Configure '''website crawling''' for that domain | |||
{{exclaim}} Note: Each Data Store indexes only its own configured site list — a query cannot reach content outside the Data Store's crawl scope, regardless of how correct the query syntax is. | |||
== Related Pages == | == Related Pages == | ||
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== Further readings == | == Further readings == | ||
* [https://www.youtube.com/watch?v=cPJIHHbDdGk&t=1s Building an Enterprise Search app using Vertex AI Search on Google Cloud (Demo) - YouTube] | * [https://www.youtube.com/watch?v=cPJIHHbDdGk&t=1s Building an Enterprise Search app using Vertex AI Search on Google Cloud (Demo) - YouTube] | ||
* [https://cloud.google.com/vertex-ai/generative-ai/docs/grounding/grounding-with-vertex-ai-search Grounding with Vertex AI Search | Generative AI on Vertex AI | Google Cloud] | |||
== References == | == References == | ||