Update app/core/embedding_engine.py

app/core/embedding_engine.py

@@ -1,33 +1,13 @@
-# embedding_engine.py
+# app/core/embedding_engine.py
+
 import uuid, time
-from pathlib import Path
 from qdrant_client import QdrantClient, models
 from qdrant_client.http.models import Distance, VectorParams
 from sentence_transformers import SentenceTransformer
 from app.core.config import QDRANT_URL, QDRANT_API_KEY
 
-# MODEL_PATH = "app/core/models/bge-base-en-v1.5"
-# embedder = SentenceTransformer(MODEL_PATH)
-
-
-# ✅ Resolve model path relative to THIS file, not the working directory
-# Works on local, HuggingFace, Docker — anywhere
-BASE_DIR = Path(__file__).resolve().parent  # → app/core/
-MODEL_PATH = BASE_DIR / "models" / "bge-base-en-v1.5"
-
-print(f"📁 Model path: {MODEL_PATH}")
-print(f"📁 Model exists: {MODEL_PATH.exists()}")
-
-if not MODEL_PATH.exists():
-    raise RuntimeError(
-        f"BGE model not found at {MODEL_PATH}. "
-        f"Ensure the model folder is committed to the repo under app/core/models/bge-base-en-v1.5/"
-    )
-
-embedder = SentenceTransformer(str(MODEL_PATH))  # SentenceTransformer needs str, not Path
-print("✅ Embedder loaded successfully")
-
-
+MODEL_PATH = "app/core/models/bge-base-en-v1.5"
+embedder = SentenceTransformer(MODEL_PATH)
 
 qdrant = QdrantClient(
     url=QDRANT_URL,
@@ -122,6 +102,6 @@ def embed_query(text):
     return embedder.encode(
         f"query: {text}",
         normalize_embeddings=True
-    ).tolist()  # ✅ always return list, not numpy array
+    ).tolist()