fix: resolve FAISS index not found and TypeError by anchoring paths to __file__ and casting Path to str

src/similarity_model/semantic_search.py

@@ -80,11 +80,11 @@ def load_model():
 
 @lru_cache(maxsize=1)
 def load_faiss_index():
-    if not Path(INDEX_PATH).exists():
+    if not INDEX_PATH.exists():
         raise FileNotFoundError("FAISS index not found.")
 
     logger.info("Loading FAISS index...")
-    return faiss.read_index(INDEX_PATH)
+    return faiss.read_index(str(INDEX_PATH))
 
 
 @lru_cache(maxsize=1)
@@ -101,11 +101,11 @@ def load_metadata():
 
 @lru_cache(maxsize=1)
 def load_embeddings():
-    if not Path(EMBED_PATH).exists():
+    if not EMBED_PATH.exists():
         raise FileNotFoundError("Embeddings not found.")
 
     logger.info("Loading embeddings...")
-    return np.load(EMBED_PATH)
+    return np.load(str(EMBED_PATH))
 
 
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