Update app.py

app.py

@@ -157,7 +157,7 @@ docs = documents
 
 
 # sparse_embeddings = FastEmbedSparse(model_name="Qdrant/bm25")
-sparse_embeddings = FastEmbedEmbeddings(model_name="sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2")
+embeddings = FastEmbedEmbeddings(model_name="sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2")
 
 client = QdrantClient(path="tmp/langchain_qdrant")
 
@@ -173,7 +173,8 @@ client.create_collection(
 qdrant = QdrantVectorStore(
     client=client,
     collection_name="my_documents",
-    sparse_embedding=sparse_embeddings,
+    embedding=embeddings,
+    # sparse_embedding=sparse_embeddings,
     # retrieval_mode=RetrievalMode.SPARSE,
     # sparse_vector_name="sparse",