The no-LLM-in-CRUD-path thing makes sense...I've seen teams hit real latency walls routing every memory operation through inference. What's your thinking around

The no-LLM-in-CRUD-path thing makes sense...I've seen teams hit real latency walls routing every memory operation through inference. What's your thinking around retrieval patterns? Most agent memory systems I've worked with end up needing vector similarity for semantic search but also structured queries for stuff like "all conversations from last week." Are you planning to support both or staying vector-focused?