Update app.py

app.py

@@ -12,7 +12,7 @@ chunks = chunk_docs_nltk(documents, 500, 50)
 print("generating embeddings")
 embeddings = create_embeddings_opensource("dstampfli/finetuned-snowflake-arctic-embed-m")
 print("creating vector store")
-qdrant_vector_store = create_vector_store(":memory:", "Midterm", 384, embeddings, chunks)
+qdrant_vector_store = create_vector_store(":memory:", "Midterm", 768, embeddings, chunks)
 print("creating retriever")
 retriever = create_retriever_from_qdrant(qdrant_vector_store)
 print("creating prompt")