use newer embedding model

app.py

@@ -4,8 +4,12 @@ from llama_index.core.indices.query.query_transform.base import (
     HyDEQueryTransform,
 )
 from llama_index.core.query_engine import TransformQueryEngine
+from llama_index.core import Settings
+from llama_index.embeddings.openai import OpenAIEmbedding
 import gradio as gr
 
+Settings.embed_model = OpenAIEmbedding(model_name="text-embedding-3-small")
+
 # dataset=load_dataset("davidr70/megillah_english_sugyot", split="train")
 dataset=load_dataset("davidr70/megilla_sugyot_merged", split="train")
 documents = [Document(text=item['content'], metadata=item['metadata']) for item in dataset]