feat(B-VEC): pgvector HNSW Optimierung — ef_construction=128, m=16, ef_search=40

B-VEC: Migration 0118 — HNSW-Indizes mit optimierten Parametern (ef_construction=128, m=16) - 5 Tabellen: contacts, mails, files, calendar_entries, tags - config.py: hnsw_ef_construction, hnsw_m, hnsw_ef_search, vector_index_type Settings - base_provider.py + search_engine.py: SET LOCAL hnsw.ef_search vor Vector-Queries B-VEC-IVF: IVFFlat als Alternative dokumentiert (vector_index_type Setting) B-VEC-BATCH: Batch-Embedding verifiziert (generate_embeddings_batch nutzt llm_embed()) B-VEC-TEST: Performance-Tests auf Coolify-Instanz verschoben (benötigt 10k+ Datensätze)
2026-08-13 16:28:55 +02:00
parent e9164979b5
commit 211242a807
4 changed files with 102 additions and 0 deletions
@@ -79,6 +79,12 @@ class Settings(BaseSettings):
    # Marketplace
    marketplace_server_url: str = ""

+    # pgvector / HNSW
+    hnsw_ef_construction: int = 128
+    hnsw_m: int = 16
+    hnsw_ef_search: int = 40
+    vector_index_type: Literal["hnsw", "ivfflat"] = "hnsw"
+
    # Rate Limiting
    rate_limit_login_max: int = 5
    rate_limit_login_window: int = 900  # 15 min