learning_ai_notes/backend
saravanakumardb1 06590b9175 feat(palace): extract KG triples from entities + refresh L1 cache on note save
After storing memories, generate subject-predicate-object triples from
entity pairs found in extracted memories. Also trigger L1 critical facts
cache regeneration so wake-up context stays fresh.
2026-04-13 12:33:16 -07:00
..
src feat(palace): extract KG triples from entities + refresh L1 cache on note save 2026-04-13 12:33:16 -07:00
.env.example feat(backend): add domain event bus and wire note CRUD events 2026-04-13 10:00:12 -07:00
Dockerfile fix(docker): switch Alpine to Debian slim and remove prod NODE_TLS_REJECT_UNAUTHORIZED 2026-04-13 09:59:36 -07:00
eslint.config.js chore(backend): add eslint config and lint script 2026-03-26 23:03:09 -07:00
package.json feat(backend): wire @bytelyst/webhook-dispatch to domain event bus 2026-04-13 10:29:43 -07:00
tsconfig.json feat(docker): migrate NoteLett to Gitea registry-backed Docker pattern 2026-03-23 20:11:12 -07:00
vitest.config.ts chore(backend): add vitest.config.ts 2026-03-26 23:10:12 -07:00