Upload app.py

app.py

@@ -129,7 +129,21 @@ def load_pdf(files):
     # Store the embeddings in the vector store
     vector_store = FAISS.from_documents(texts, embeddings)
 
-    return "PDF(s) indexed successfully!"
+    # Check vector database status
+    num_indexed_vectors = 0
+    if hasattr(vector_store, 'index') and hasattr(vector_store.index, 'ntotal'):
+        num_indexed_vectors = vector_store.index.ntotal
+    
+    num_documents_in_docstore = 0
+    if hasattr(vector_store, 'docstore') and hasattr(vector_store.docstore, 'lc_kwargs'):
+        num_documents_in_docstore = len(vector_store.docstore._dict)
+
+    status_message = (
+        f"PDF(s) indexed successfully!\n"
+        f"Total chunks processed: {len(texts)}, Vectors indexed: {num_indexed_vectors}, Documents: {num_documents_in_docstore}\n"
+       )
+
+    return status_message
 
 
 def format_docs(docs):