H1: BM25 keyword scoring in recall pipeline (0.7 vector + 0.3 keyword) H2: LLM wiki curation mode (--llm flag, graceful heuristic fallback) H3: Auto trust score update after each recall call H4: Default diversity=0.3 (was 0 = no diversity) H5: Three search modes: hybrid(semantic+BM25) / keyword / semantic H6: Multi-tier fallback already covered by P0 + SQLiteClient All verified: hybrid(0.962), keyword(1.000), semantic(0.962) |
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| .. | ||
| backup.sh | ||
| benchmark.py | ||
| benchmark.sh | ||
| migrate_faiss_to_lance.go | ||
| migrate_hermes.py | ||
| migrate_openclaw.py | ||
| reindex_bge_m3.py | ||
| restore.sh | ||
| verify_backup.sh | ||
| wiki_curator.py | ||