Can I use this pre-GA API to process production data?
Yes, you can use the API for production data. The API has allocated a low-tier quota for you to start with. If you want to process a large data volume beyond the default quota, reach out to the Google Cloud sales or product team. SLA does not apply to this API.
Can I use this pre-GA API to process personal data?
Yes. Although the use of the Enterprise Knowledge Graph service is governed by the Pre-GA Offerings Terms of the Google Cloud Service Specific Terms, the Cloud Data Processing Addendum applies to this service as of October 10, 2022.
Does my Customer Data end up in the Google Knowledge Graph Search API?
No. This API only processes Customer Data under Google Cloud the Terms of Service.
Will Google share the Customer Data I send to this API?
No, it is not shared. Your Customer Data is stored in your own project. We will not make the Customer Data that you send available to the public, or share it with anyone else.
Will the Custom Data I send to Enterprise Knowledge Graph, the results, or other information about the request itself, be stored on Google servers? If so, how long and where is the information kept, and do I have access to it?
When you start a reconciliation job in Enterprise Knowledge Graph, Google needs to temporarily store that content to perform transformation, enrichment, and clustering. Temp data is stored securely on Google servers, and it is automatically removed after the job completes.
Can I select a specific region to process my Customer data for this API?
No. The service operates in multi-regions, and cannot be restricted to a single region today.
How often do Google Knowledge Graph Search API entities change?
Google Knowledge Graph Search API ingests real-time events data as well as batch offline updates, in order to bring the most recent updates and new entities to our customers. Keeping most up-to-date and fresh entities in the graph is a core feature of the product. As a result, you might see slightly different responses in certain cases, because there might be new data joining the graph, as well as the old data removed.