Comments (3)
A number of ways to tackle this. Could have a full queue/scheduling system running on multiple Docker nodes in a docker-compose cluster, could have a simple in-process timer that trips occasionally and triggers analytic jobs.
One thing I'd like to understand more about before committing to an approach would be the user expectations and latency expectations. If they add a bunch of embeddings to a dataset, and then turn around and query them right away, is the expectation that the results would be available? Or after some number of hours? Or that they'd have an interface to check the status and the most recent time the batch jobs ran?
from chroma.
Agree this is currently way under-defined. Todo
from chroma.
Moving to backlog
from chroma.
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from chroma.