Vector Database + Background Job Support

Hi Base44 team,

I’m running into two limitations that are blocking a few important use-cases, and I’d like to request support or clarification on whether these capabilities are planned:

1. Missing Vector Database / Embeddings Storage

For applications that require semantic search, pattern learning, or large-scale text retrieval, we need:

• Native embedding storage

• Vector similarity search

• Ability to query vectors efficiently from within workflows

Right now the platform doesn’t seem to offer built-in vector DB support, which makes it difficult to implement features like memory retrieval, semantic matching, and classification confidence scoring.

2. No Background Job System

Some tasks require long-running, asynchronous background processing . Since Base44 currently runs actions synchronously, these workloads time out or disrupt front-end flow.

A background worker system (queue, scheduled jobs, or async tasks) would allow:

• Large batch ingestion

• Heavy processing outside the user request cycle

• Stable long-duration pipelines

These two features would open the door for far more advanced AI-driven applications, especially anything involving email, large files, or continuous learning.

Thanks for considering this — please let me know if these capabilities are on your roadmap or if you recommend a workaround.