diff --git a/RAG-Demo.py b/RAG-Demo.py
index b2aba8f..f2e016b 100644
--- a/RAG-Demo.py
+++ b/RAG-Demo.py
@@ -3,9 +3,12 @@ import glob
 import lancedb
 from PyPDF2 import PdfReader
 import openai
+import tkinter as tk
+from tkinter import filedialog
+from config import OPENAI_API_KEY
 
 # Setze deinen OpenAI API-Schlüssel
-openai.api_key = 'DEIN_OPENAI_API_KEY'
+openai.api_key = OPENAI_API_KEY
 
 def extract_text_from_pdf(file_path):
     reader = PdfReader(file_path)
@@ -19,14 +22,14 @@ def extract_text_from_pdf(file_path):
 def get_embedding(text):
     # OpenAI Embeddings API verwenden
     response = openai.Embedding.create(
-        input=[text],
+        input=text,
         model="text-embedding-ada-002"
     )
     embedding = response['data'][0]['embedding']
     return embedding
 
 def load_pdfs_to_lancedb(directory, db_path):
-    # Verbindung zur LanceDB herstellen
+    # Verbindung zur LanceDB herstellen (synchroner Client)
     db = lancedb.connect(db_path)
     table_name = 'pdf_embeddings'
     data = []
@@ -47,7 +50,7 @@ def load_pdfs_to_lancedb(directory, db_path):
         table = db.open_table(table_name)
         table.add(data)
     else:
-        table = db.create_table(table_name, data=data, mode='overwrite')
+        table = db.create_table(table_name, data=data)
 
 def semantic_search(query, db_path, top_k=5):
     db = lancedb.connect(db_path)
@@ -60,14 +63,37 @@ def semantic_search(query, db_path, top_k=5):
     return file_links
 
 if __name__ == "__main__":
-    # Ersetze durch deine tatsächlichen Pfade
-    pdf_directory = 'pfad_zum_pdf_verzeichnis'
-    lancedb_path = 'pfad_zum_lancedb_verzeichnis'
+    import sys
+    import argparse
+
+    # Argument Parser für Kommandozeilenargumente
+    parser = argparse.ArgumentParser(description='PDF-Semantische Suche mit LanceDB')
+    parser.add_argument('--db_dir', type=str, help='Pfad zum LanceDB-Verzeichnis', default='lancedb_data')
+    args = parser.parse_args()
+
+    lancedb_path = args.db_dir
+
+    # Tkinter GUI initialisieren
+    root = tk.Tk()
+    root.withdraw()  # Hauptfenster ausblenden
+
+    # Ordnerauswahl-Dialog öffnen
+    pdf_directory = filedialog.askdirectory(title="Bitte wählen Sie das PDF-Verzeichnis aus")
+
+    # Überprüfen, ob das Verzeichnis existiert
+    if not pdf_directory or not os.path.isdir(pdf_directory):
+        print("Kein gültiges Verzeichnis ausgewählt. Das Programm wird beendet.")
+        sys.exit(1)
+
     # PDFs in LanceDB laden
     load_pdfs_to_lancedb(pdf_directory, lancedb_path)
+
     # Semantische Suche durchführen
-    query = input("Gib deine Suchanfrage ein: ")
-    results = semantic_search(query, lancedb_path)
-    print("Passende Dateien:")
-    for file_link in results:
-        print(file_link)
+    while True:
+        query = input("Gib deine Suchanfrage ein (oder 'exit' zum Beenden): ")
+        if query.lower() == 'exit':
+            break
+        results = semantic_search(query, lancedb_path)
+        print("Passende Dateien:")
+        for file_link in results:
+            print(file_link)
diff --git a/__pycache__/config.cpython-312.pyc b/__pycache__/config.cpython-312.pyc
new file mode 100644
index 0000000..58501c5
Binary files /dev/null and b/__pycache__/config.cpython-312.pyc differ
diff --git a/config.py b/config.py
new file mode 100644
index 0000000..4420924
--- /dev/null
+++ b/config.py
@@ -0,0 +1,2 @@
+# OpenAI API Key
+OPENAI_API_KEY = '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'