# Indexing
# this should directly index documents into Elasticsearch
client = ElasticsearchVectorClient()
GPTOpensearchIndex(documents, client=client, chunk_size_limit=1024)

# Querying
# this should ask the query 'q' on the Elasticsearch index, using the qa & refinement templates provided.
# and with the LLM Predictor provided
client = ElasticsearchVectorClient()
index = GPTOpensearchIndex([], client=client)
llm_predictor = LLMPredictor(llm=ChatOpenAI(
    temperature=0, model_name="gpt-3.5-turbo"))

similarity_top_k = 1
index.query(q, similarity_top_k=similarity_top_k,
               llm_predictor=llm_predictor,
               text_qa_template=CHAT_QA_PROMPT,
               refine_template=CHAT_REFINE_PROMPT)

ImportError: cannot import name 'Protocol' from 'typing' (/usr/lib/python3.7/typing.py)

None of PyTorch, TensorFlow >= 2.0, or Flax have been found. Models won't be available and only tokenizers, configuration and file/data utilities can be used.

Token indices sequence length is longer than the specified maximum sequence length for this model (3324 > 1024). Running this sequence through the model will result in indexing errors