Resolving Deployment Not Found Error in Langchain Setup

can you help me with this error : for query in tqdm(queries[:10]): chain.invoke(query) Tried multiple ways , but the error says Deployment not found df = pd.read_parquet( "http://storage.googleapis.com/arize-phoenix-assets/datasets/" "unstructured/llm/context-retrieval/langchain/database.parquet" ) knn_retriever = KNNRetriever( index=np.stack(df["text_vector"]), texts=df["text"].tolist(), embeddings=AzureOpenAIEmbeddings(), ) chain_type = "stuff" # stuff, refine, map_reduce, and map_rerank chat_model_name = "gpt35exploration" llm = ChatOpenAI(model_name=chat_model_name) chain = RetrievalQA.from_chain_type( llm=llm, chain_type=chain_type, retriever=knn_retriever, metadata={"application_type": "question_answering"}) Please let me know how i can execute this for query in tqdm(queries[:10]): chain.invoke(query)