Improve recall quality
Tune glossary terms, disclosure triggers, priority, generated views, and memory shape.
Improve recall by improving memory shape before changing thresholds.
Improvement order
Use this order:
- Make the memory focused: one topic per node.
- Give it a specific path.
- Write a concrete disclosure trigger.
- Add glossary terms users and agents actually type.
- Set priority honestly.
- Check that embeddings and View LLM settings are configured.
- Tune recall settings only after the content is clean.
Common problems:
| Symptom | First fix |
|---|---|
| useful memory never appears | add disclosure and glossary terms |
| too many broad results | split large memories and lower priority |
| Chinese queries are weak | verify pg_jieba or zhparser; otherwise Lore falls back to simple tokenizer |
| semantic recall is missing | configure embedding provider and rebuild generated views |
| results look stale | run Dream or refresh generated memory views after major edits |