diff --git a/07 ollama RAG/main.py b/07 ollama RAG/main.py
index 662e9af..e1cc7f7 100644
--- a/07 ollama RAG/main.py	
+++ b/07 ollama RAG/main.py	
@@ -1,15 +1,15 @@
-from langchain_community.embeddings import OllamaEmbeddings
-from langchain_community.chat_models import ChatOllama
+from langchain_ollama import OllamaEmbeddings
+from langchain_ollama import ChatOllama
 from langchain_core.prompts import PromptTemplate
 from langchain_core.output_parsers import StrOutputParser
 from langchain.text_splitter import RecursiveCharacterTextSplitter
 import chromadb
 
 # Initialize the embedding model
-embed_model = OllamaEmbeddings(model="mistral")
+embed_model = OllamaEmbeddings(model="nomic-embed-text")
 
 # Path to the markdown file
-file_path = "./data/product.md"
+file_path = "./testdata/product.md"
 
 # Function to read the content of the file
 def load_file_content(file_path):
@@ -74,6 +74,6 @@ def answer_question(question):
     return generation
 
 # Example usage
-question = "What does the product look liked?"
-answer = answer_question(question)
-print(f"Answer: {answer}")
+
+print(f"Answer: {answer_question("What does the product look like?")}")
+#print(f"Answer: {answer_question("What is the combat like?")}")