refactor(ai): remove semantic embedding cache + Qdrant vector store
Hapus seluruh fitur embedding/Qdrant (tidak dipakai lagi):
- gateway: drop embeddingClient.ts, qdrantClient.ts, archiveEmbedder.ts
dan tes qdrantEnsure.test.ts; moderationOrchestrator kembali ke
exact-hash cache -> LLM (tanpa phase-2 semantic lookup); textCacheStore
kehilangan findSimilarTextModeration / parseQdrantVerdict /
isSemanticBandAccepted / upsertBareKeyToQdrant; cache-prune hanya
menyapu Postgres.
- backend: drop embed.ts + qdrant.ts, endpoint messages.semanticSearch
dan schema/type terkait; kolom embedding dilepas dari schema
text_analysis_cache.
- frontend: hapus toggle EXACT/SEMANTIC, hook useSemanticSearch,
API client + tipe SemanticSearchResult.
- config: buang AI_LLM_EMBEDDING_* dan QDRANT_* (env + .env.example).
- docs: ARCHITECTURE.md / AGENTS.md / README.md / diagram arsitektur
disesuaikan (LLM caller - vision, cache = exact-hash saja).
Verifikasi: tsc 0 (backend, gateway, frontend); bun test 135 pass +
37 pass, 0 fail; biome 0 error.
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