Phase 0 complete: fuzzy entity tier, incremental sync, Start9 packaging

- Fuzzy tier (backend/ingest/fuzzy_resolve.py + llm.py): local Qwen adjudicates
  the deterministic resolver's flagged name-variant candidates; merges are
  durable via entity_merges (deterministic re-runs respect them), losers
  soft-deleted, logged. Idempotent.
- Incremental sync (backend/ingest/sync.py): re-embeds only rows changed since a
  watermark (ingest_sync_state); first run / --recreate = full. Tested full→0→1.
- Start9 packaging (start9/0.4): Dockerfile bundles ingest+mcp + fastembed/mcp;
  "Build search index" action runs the init in a subcontainer; MCP shipped as a
  manual stdio server (not a daemon); version 0.1.0:44. INGEST_PACKAGING.md.
- backfill.py: factored embed_and_upsert() shared with sync.

Verified end-to-end on synthetic data + live Sparks/Qwen/Qdrant.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
This commit is contained in:
Keysat
2026-06-05 08:55:12 -05:00
parent c7ce44d963
commit f357c23c75
16 changed files with 808 additions and 48 deletions
+1
View File
@@ -24,5 +24,6 @@ SPARK_VERIFY_TLS = os.environ.get("SPARK_CONTROL_VERIFY_TLS", "false").lower() i
QDRANT_URL = os.environ.get("QDRANT_URL", "").rstrip("/")
COLLECTION = os.environ.get("CRM_QDRANT_COLLECTION", "crm_chunks")
EMBED_MODEL = os.environ.get("CRM_EMBED_MODEL", "BAAI/bge-m3")
CHAT_MODEL = os.environ.get("CRM_CHAT_MODEL", "RedHatAI/Qwen3.6-35B-A3B-NVFP4")
DENSE_DIM = int(os.environ.get("CRM_EMBED_DIM", "1024"))
DEFAULT_DB = os.environ.get("CRM_DEV_DB_PATH", os.path.join(_ROOT, "data", "crm_dev.db"))