Update src/rag_engine.py

modified the PInecone upload functionality to let the system check embedded vector dimensionality automatically

src/rag_engine.py

@@ -196,10 +196,17 @@ def ingest_file(file_path: str, username: str, index_name: str, strategy: str =
         for doc in docs:
             acronym_mgr.scan_text_for_acronyms(doc.page_content)
 
-        # 3. Pinecone Safety Check
+        # 3. Pinecone Safety Check (Dynamic)
         pm = PineconeManager(PINECONE_KEY)
-        if not pm.check_dimension_compatibility(index_name, 384):
-            return False, f"Dimension Mismatch! Index {index_name} is not 384d."
+        emb_fn = get_embedding_func()
+        
+        # DYNAMIC CHECK: Generate a test embedding to see true dimension
+        # This allows you to swap models in CONFIGURATION later without breaking code
+        test_vec = emb_fn.embed_query("this is a test")
+        model_dim = len(test_vec)
+        
+        if not pm.check_dimension_compatibility(index_name, model_dim):
+            return False, f"Dimension Mismatch! Index '{index_name}' expects {model_dim}d vectors (based on current model), but found incompatible dimensions."
 
         # 4. Upload
         emb_fn = get_embedding_func()