GalKlm
Joined 4 years ago
Joined 4 years ago
We definitely have pgvector on our roadmap (which tbh I think we better publish in the repo). For Graphana tempo, it's just a matter of making sure that it works as a destination - we'll do it today/tomorrow.
This one may help you: https://docs.enrolla.io/contributing/overview
If it doesn't, feel free to reach out at the community slack: https://join.slack.com/t/enrollacommunity/shared_invite/zt-1...
We can even jump on a call to assist you.
I totally get you; we're struggling to find the correct wording. As an engineer, I also bump into the "gradual (temporal) rollout" as the first association of "Feature Flags".
What wording would make sense to you now that you understand the vision?
Thanks for the comments; they are much appreciated and help us shape our messaging and understand what's not going through.
That's a good tbh. I wonder whether we should implement instrumentations for LLMs "hosting solutions" or for specific LLMs (E.g. LLaMa/Falcon) and ignore the hosting solution (not sure if that's even possible though as it sort of dictates the inference api).
wdyt?