Update app.py

app.py

@@ -110,8 +110,8 @@ def chat():
             return render_template('chat.html', error="No vector database selected!", history=[])
 
         # Load the selected Document Database 
-        #embedding_function = HuggingFaceEmbeddings(model_name="all-MiniLM-L6-v2")
-        embedding_function = HuggingFaceEmbeddings(model_name="mixedbread-ai/mxbai-embed-large-v1")
+        embedding_function = HuggingFaceEmbeddings(model_name="all-MiniLM-L6-v2")
+        #embedding_function = HuggingFaceEmbeddings(model_name="mixedbread-ai/mxbai-embed-large-v1")
         db = Chroma(persist_directory=CHROMA_PATH, embedding_function=embedding_function)
         results_document = db.similarity_search_with_relevance_scores(query_text, k=3)