Update src/embeddings.py

src/embeddings.py

@@ -23,10 +23,10 @@ print(f"✅ Using Hugging Face cache at {CACHE_DIR}")
 # ----------------------------
 try:
     _model = SentenceTransformer(
-        "intfloat/e5-large-v2",   # ✅ Trained for retrieval-augmented QA
+        "intfloat/e5-small-v2",   # ✅ Trained for retrieval-augmented QA
         cache_folder=CACHE_DIR
     )
-    print("✅ Loaded model: intfloat/e5-large-v2")
+    print("✅ Loaded model: intfloat/e5-small-v2")
 except Exception as e:
     print(f"⚠️ Model load failed ({e}), falling back to MiniLM.")
     _model = SentenceTransformer(