Problem
Current memory system relies only on embedding similarity. This leads to:
- semantically close but irrelevant results
- missing exact keyword matches
- unstable retrieval quality depending on phrasing
Goal
Implement hybrid memory retrieval combining:
- vector similarity (embeddings)
- keyword-based scoring (FTS / token match)
Problem
Current memory system relies only on embedding similarity. This leads to:
Goal
Implement hybrid memory retrieval combining: