Argh. #opensearchcon

Do you collect feature adoption or other more user centric data? Data that feeds back into how you evolve the product? I think I may be asking “how do you collect data that informs your product roadmap”

What we found however at our clients is that Analytics teams don’t speak “Oberservability” and use a different tech stack.

Last year we did a spike to funnel user click data like add to cart or click through s via OpenTelemetry and leveraging oberservability features of OpenSearch and it was promising.

I was the original host of the Hackathon, and then a workshop for work reared it's ugly (actually, totally exciting) head and I had to rely on my community for help! And the community came through.

Also, check out Superlinked as a option that drives towards “it doesn’t matter so much the vector db as in how you use” example.

In some ways I think there are many reasonable choices for the BUILD option…. superlinked.com/vector-db-co... is a good resource. Maybe more important than which db is HOW you use it.

Are you asking ones that DO the extraction or ones that you can use to BUILD your own extractions with?