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762 results found

  1. I need to go to the underlying cloud storage UI to do this currently which is a pain and I need to leave the Firebase environment.

    1 vote
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  2. One of the very useful things about the Open AI API is that the response includes the amount of input and output tokens used , as well as the model that was hit. I am recording this data per call in my firebase instance for my app along with time of processing to monitor performance. I also add the appropriate cost per model in there and so I dynamically calculate the costs per model call as well. This helps me make business case decisions on how I use the AI. 
    It would be great to have that  available in  the Vertex AI API…

    2 votes
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  3. We host a whitelabel incident tracker and need the ability to use a customer domain. We currently use cloudflare ssl for saas with cloud run and load balancer

    3 votes
    1 comment  ·  App Hosting  ·  Admin →
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  4. Allow configurable caching of query results for reduced end-to-end latency and reduced resource pressure on underlying data sources.

    25 votes
    1 comment  ·  Data Connect  ·  Admin →
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  5. Allow validation (e.g. min/max values, length, regex match) with custom error messages on both fields and variables. Enforce validation server-side but also provide client-side validation of variables for generated SDKs.

    30 votes
    1 comment  ·  Data Connect  ·  Admin →
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  6. Create sets of reusable operations that are not accessible from client applications but can be called from server code or manually in the Firebase Console.

    21 votes
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  7. 7 votes
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  8. Support creating GraphQL schema in the Firebase console

    25 votes
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  9. Support federating a Data Connect service with other GraphQL schemas using federation protocols. Stitch together existing GraphQL services with Data Connect.

    14 votes
    1 comment  ·  Data Connect  ·  Admin →
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  10. Support aggregations (COUNT, SUM, AVG, MIN, MAX) with grouping as part of the built-in GraphQL query builder.

    63 votes
    1 comment  ·  Data Connect  ·  Admin →
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  11. Add deeper integration with Vertex AI to Data Connect, for example allowing direct LLM content generation and simple RAG use cases.

    4 votes
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  12. Support Cloud Spanner as a datasource for Data Connect in addition to Cloud SQL via Cloud Spanner's PostgreSQL compatibility layer.

    4 votes
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  13. Support AlloyDB as a datasource for Data Connect in addition to Cloud SQL via the same PostgreSQL bindings

    7 votes
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  14. Support Cloud Firestore as a datasource for Data Connect in addition to Cloud SQL. Support data model mapping (e.g. @collection) and querying via GraphQL

    133 votes
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  15. Allow data to be cached and accessible offline. Offline data may have limited query and write capabilities compared to online data

    119 votes
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  16. Trigger a Cloud Function when data in a table type is created (via insert or upsert), updated (via update or upsert), or deleted.

    181 votes
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  17. Create and store advanced embeddings for Data Connect types in pgvector through support of configurable chunking strategies and automatic embedding by annotations.

    7 votes
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  18. Store and retrieve large files with Data Connect through an integration with Google Cloud Storage.

    15 votes
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  19. Subscribe to realtime updates for a limited subset of queries, for example retrieving updates to specific rows or getting new items for a simple timeline.

    280 votes
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  20. Data Connect automatically queues and applies database schema migrations as you make changes to your application's schema including destructive migration detection and diff approval.

    14 votes
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