Really strong framing on the goal-and-state blindness issue with vector search. I've run into this repeatedly when building agentic workflows, where the semantic similarity gets you 70% there but totally misses recency, causality, or state transitions. The multipl-system fragmentation is brutal too, especially when youre trying to keep conversation memory, docs, and event logs in sync. Curious how the predictive learning handles edge cases where usage patterns dont reflect actual importance, like rarely accessed but critical compliance docs?
Great question — so usage != importance. It’s one signal out of many.
In Papr, predictive learning is intent-aware. We track when and why memory is cited for a given use case, not just how often it’s accessed overall. That means rarely accessed but critical artifacts like compliance docs are anchored by structure and obligation, and surface when the situation calls for them (audits, incidents, escalations), even if they’re not frequently touched.
Usage helps us learn patterns and improve prioritization, but it doesn’t override “must-know” context. Curious how you’ve handled that tradeoff in your own systems.
Really strong framing on the goal-and-state blindness issue with vector search. I've run into this repeatedly when building agentic workflows, where the semantic similarity gets you 70% there but totally misses recency, causality, or state transitions. The multipl-system fragmentation is brutal too, especially when youre trying to keep conversation memory, docs, and event logs in sync. Curious how the predictive learning handles edge cases where usage patterns dont reflect actual importance, like rarely accessed but critical compliance docs?
Great question — so usage != importance. It’s one signal out of many.
In Papr, predictive learning is intent-aware. We track when and why memory is cited for a given use case, not just how often it’s accessed overall. That means rarely accessed but critical artifacts like compliance docs are anchored by structure and obligation, and surface when the situation calls for them (audits, incidents, escalations), even if they’re not frequently touched.
Usage helps us learn patterns and improve prioritization, but it doesn’t override “must-know” context. Curious how you’ve handled that tradeoff in your own systems.