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Google Cloud service
Vertex AI Search
Topic in 1 exam domain
Also called: Agent Search
A Google Cloud search and generative application service, formerly known as Vertex AI Search and being renamed to Agent Search.
Where this appears on the exam
1 objective in 1 of 5 domains
Related topics
FoundationsThis topicWorks alongsideAppliedApplication Default CredentialsFeature
Vertex AI SearchService
BigQueryServiceVertex AIServiceGoogle Cloud StorageServiceCloud RunServiceAlloyDBServiceCloud SQLServiceDataflowServiceCloud Run functionsServicePoints to what builds on itWorks with or alternative toHover or tap a line to see what connects the two
- Vertex AI Search depends on Application Default Credentials From the official documentation: “To authenticate to Agent Search, set up Application Default Credentials.”
- Application Default Credentials secures Vertex AI Search From the official documentation: “To authenticate to Agent Search, set up Application Default Credentials.”
- BigQuery works with Vertex AI Search From the official documentation: “The following table compares the two ways that you can import BigQuery data into Agent Search data stores.”
- Vertex AI works with Vertex AI Search From the official documentation: “If you're using models hosted in Vertex AI, you can ground model responses using Vertex AI Search, Google Search, or inline/infile text.”
- Vertex AI depends on Application Default Credentials From the official documentation: “To authenticate to Vertex AI, set up Application Default Credentials.”
- Application Default Credentials secures BigQuery From the official documentation: “To authenticate to BigQuery, set up Application Default Credentials.”
- AlloyDB depends on Application Default Credentials From the official documentation: “To authenticate to AlloyDB, set up Application Default Credentials.”
- BigQuery depends on Application Default Credentials From the official documentation: “To authenticate to BigQuery, set up Application Default Credentials.”
- Dataflow depends on Application Default Credentials From the official documentation: “To authenticate to Dataflow, set up Application Default Credentials.”
- Application Default Credentials works with BigQuery From the official documentation: “Create a BigQuery client using application default credentials.”
- AlloyDB works with Application Default Credentials From the official documentation: “To authenticate to AlloyDB, set up Application Default Credentials.”
- Application Default Credentials secures Vertex AI From the official documentation: “To authenticate to Vertex AI, set up Application Default Credentials.”
- BigQuery works with Dataflow From the official documentation: “Read from BigQuery to Dataflow”
- BigQuery works with Cloud SQL From the official documentation: “Add credentials to connect BigQuery to Cloud SQL.”
- Cloud Run works with Cloud SQL From the official documentation: “Learn how to connect to Cloud SQL from Cloud Run”
- Application Default Credentials works with Dataflow From the official documentation: “To authenticate to Dataflow, set up Application Default Credentials.”
- Application Default Credentials works with Google Cloud Storage From the official documentation: “To authenticate to Cloud Storage, set up Application Default Credentials.”
- Cloud SQL works with Vertex AI From the official documentation: “This page describes how to integrate Cloud SQL with [Vertex AI](/vertex-ai/docs).”
- Application Default Credentials works with Cloud Run functions From the official documentation: “To authenticate to Cloud Run functions, set up Application Default Credentials.”
- Cloud Run functions depends on Application Default Credentials From the official documentation: “To authenticate to Cloud Run functions, set up Application Default Credentials.”
- BigQuery is an alternative to Google Cloud Storage From the official documentation: “The training data can be either a CSV file in Cloud Storage or a table in BigQuery.”
- BigQuery works with Cloud Run functions From the official documentation: “BigQuery supports external function calls through Cloud Run functions.”
- BigQuery works with Google Cloud Storage From the official documentation: “Load Cloud Storage data into BigQuery”
- Cloud Run depends on Application Default Credentials From the official documentation: “To authenticate to Cloud Run, set up Application Default Credentials.”
- Application Default Credentials secures Dataflow From the official documentation: “To authenticate to Dataflow, set up Application Default Credentials.”
- Application Default Credentials works with Cloud Run From the official documentation: “To authenticate to Cloud Run, set up Application Default Credentials.”
- Application Default Credentials secures Cloud Run functions From the official documentation: “To authenticate to Cloud Run functions, set up Application Default Credentials.”
- Cloud Run is an alternative to Cloud Run functions From the official documentation: “To create remote functions, you must [grant required roles](/bigquery/docs/remote-functions#grant_permission_on_function) to Cloud Run functions or Cloud Run.”
- AlloyDB works with Vertex AI From the official documentation: “Reference architecture for a RAG-capable generative AI application using Vertex AI and AlloyDB for PostgreSQL.”
- Application Default Credentials works with Vertex AI From the official documentation: “To authenticate to Vertex AI, set up Application Default Credentials.”
- Cloud Run works with Google Cloud Storage From the official documentation: “The Cloud Run function will receive syslog messages from FortiEDR via HTTP and write them to GCS.”
- Cloud Run works with Vertex AI From the official documentation: “The Cloud Run service can interact with Vertex AI services.”
- Cloud Run functions works with Google Cloud Storage From the official documentation: “Service account for Dataminr Alerts Cloud Run function to write alert data to GCS”
- Cloud SQL works with Google Cloud Storage From the official documentation: “Imports data into a Cloud SQL instance from a SQL dump or CSV file in Cloud Storage.”
- Google Cloud Storage depends on Application Default Credentials From the official documentation: “To authenticate to Cloud Storage, set up Application Default Credentials.”
- AlloyDB works with BigQuery From the official documentation: “By integrating AlloyDB and BigQuery, you can achieve a seamless flow of data between your transactional database and your data warehouse, which supports real-time analytics and helps you build powerful interactive applications.”
- BigQuery works with Cloud Run From the official documentation: “You can then use Cloud Run to transcode data present in the bucket and move it to BigQuery.”
- BigQuery works with Vertex AI From the official documentation: “The page provides guidance for getting predictions from Vertex AI, based on retail [data exported into BigQuery](/retail/docs/export-data-into-bq).”
- Cloud Run functions depends on Cloud Run From the official documentation: “Cloud Run functions (2nd gen) is based on Cloud Run and has a limit of 100 database connections per instance.”
- Dataflow depends on Google Cloud Storage From the official documentation: “- A gcs bucket for staging DataFlow files. Replace `<BUCKET_NAME>`: the name of a valid Google Cloud Storage bucket.”
- Dataflow works with Google Cloud Storage From the official documentation: “Data is transferred between Spanner and Cloud Storage using Dataflow.”
- AlloyDB works with Cloud Run From the official documentation: “The A2A Agent's core is a serving and orchestration layer, such as Cloud Run. This layer manages interactions with AI models like Gemini and Vertex AI, memory storages like AlloyDB and A2A TaskStore, and external tools through APIs.”
- AlloyDB works with Dataflow From the official documentation: “Demonstrates how to generate embeddings from data and ingest them into AlloyDB using Apache Beam and Dataflow for scalable data processing.”
- Application Default Credentials configures BigQuery From the official documentation: “To authenticate to BigQuery, set up Application Default Credentials.”
- Application Default Credentials configures Cloud Run From the official documentation: “To authenticate to Cloud Run, set up Application Default Credentials.”
- Application Default Credentials works with Cloud SQL From the official documentation: “Application Default Credentials are part of the client libraries you can use to access Cloud SQL.”
- Application Default Credentials secures Google Cloud Storage From the official documentation: “To authenticate to Cloud Storage, set up Application Default Credentials.”
- BigQuery is an alternative to Dataflow From the official documentation: “To automate the EDA process, use BigQuery or a managed data processing service like Dataflow.”
- Cloud Run works with Dataflow From the official documentation: “Route Dataflow events to Cloud Run”
- Cloud Run functions is part of Cloud Run From the official documentation: “| Cloud Run functions | Standalone functions on Cloud Run. |”
- Cloud Run functions works with Cloud SQL From the official documentation: “[Cloud Run functions](/functions) is an event-driven serverless compute platform that integrates with Cloud SQL.”
- Cloud Run functions works with Vertex AI From the official documentation: “- **Vertex AI custom model** node: Use Cloud Run functions to post-process prediction results from the original Vertex AI custom model.”
- Dataflow works with Vertex AI From the official documentation: “Vertex AI models are subject to [Rate Limits and Quotas](https://cloud.google.com/vertex-ai/generative-ai/docs/quotas#view-the-quotas-by-region-and-by-model) and Dataflow automatically retries throttled requests with exponential backoff.”
- Google Cloud Storage works with Vertex AI From the official documentation: “Google Cloud's scalable and secure object storage service, recommended for storing large datasets used in training and verification with Vertex AI for optimal performance.”
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