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I am brand new to using AI. I downloaded some medical visit progress notes from my Patient Portal. I extracted text from PDF files. I found a YouTube video that showed how to extract metadata using an OpenAI query / prompt such as this one:

ollama-ai-iris/data/prompts/medical_progress_notes_prompt.txt at main · oliverwilms/ollama-ai-iris
 

I combined @Rodolfo Pscheidt https://github.com/RodolfoPscheidtJr/ollama-ai-iris with some files from @Guillaume Rongier https://openexchange.intersystems.com/package/iris-rag-demo.

I attempted to run

python3 query_data.py
Traceback (most recent call last):
  File "/irisdev/app/query_data.py", line 39, in <module>
    response = query_engine.query(prompt_data)
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/irisowner/.local/lib/python3.12/site-packages/llama_index/core/instrumentation/dispatcher.py", line 322, in wrapper
    result = func(*args, **kwargs)
             ^^^^^^^^^^^^^^^^^^^^^
  File "/home/irisowner/.local/lib/python3.12/site-packages/llama_index/core/base/base_query_engine.py", line 52, in query
    query_result = self._query(str_or_query_bundle)
                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/irisowner/.local/lib/python3.12/site-packages/llama_index/core/instrumentation/dispatcher.py", line 322, in wrapper
    result = func(*args, **kwargs)
             ^^^^^^^^^^^^^^^^^^^^^
  File "/home/irisowner/.local/lib/python3.12/site-packages/llama_index/core/query_engine/retriever_query_engine.py", line 179, in _query
    response = self._response_synthesizer.synthesize(
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/irisowner/.local/lib/python3.12/site-packages/llama_index/core/instrumentation/dispatcher.py", line 322, in wrapper
    result = func(*args, **kwargs)
             ^^^^^^^^^^^^^^^^^^^^^
  File "/home/irisowner/.local/lib/python3.12/site-packages/llama_index/core/response_synthesizers/base.py", line 241, in synthesize
    response_str = self.get_response(
                   ^^^^^^^^^^^^^^^^^^
  File "/home/irisowner/.local/lib/python3.12/site-packages/llama_index/core/instrumentation/dispatcher.py", line 322, in wrapper
    result = func(*args, **kwargs)
             ^^^^^^^^^^^^^^^^^^^^^
  File "/home/irisowner/.local/lib/python3.12/site-packages/llama_index/core/response_synthesizers/compact_and_refine.py", line 43, in get_response
    return super().get_response(
           ^^^^^^^^^^^^^^^^^^^^^
  File "/home/irisowner/.local/lib/python3.12/site-packages/llama_index/core/instrumentation/dispatcher.py", line 322, in wrapper
    result = func(*args, **kwargs)
             ^^^^^^^^^^^^^^^^^^^^^
  File "/home/irisowner/.local/lib/python3.12/site-packages/llama_index/core/response_synthesizers/refine.py", line 179, in get_response
    response = self._give_response_single(
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/irisowner/.local/lib/python3.12/site-packages/llama_index/core/response_synthesizers/refine.py", line 241, in _give_response_single
    program(
  File "/home/irisowner/.local/lib/python3.12/site-packages/llama_index/core/instrumentation/dispatcher.py", line 322, in wrapper
    result = func(*args, **kwargs)
             ^^^^^^^^^^^^^^^^^^^^^
  File "/home/irisowner/.local/lib/python3.12/site-packages/llama_index/core/response_synthesizers/refine.py", line 85, in __call__
    answer = self._llm.predict(
             ^^^^^^^^^^^^^^^^^^
  File "/home/irisowner/.local/lib/python3.12/site-packages/llama_index/core/instrumentation/dispatcher.py", line 322, in wrapper
    result = func(*args, **kwargs)
             ^^^^^^^^^^^^^^^^^^^^^
  File "/home/irisowner/.local/lib/python3.12/site-packages/llama_index/core/llms/llm.py", line 605, in predict
    chat_response = self.chat(messages)
                    ^^^^^^^^^^^^^^^^^^^
  File "/home/irisowner/.local/lib/python3.12/site-packages/llama_index/core/instrumentation/dispatcher.py", line 322, in wrapper
    result = func(*args, **kwargs)
             ^^^^^^^^^^^^^^^^^^^^^
  File "/home/irisowner/.local/lib/python3.12/site-packages/llama_index/core/llms/callbacks.py", line 173, in wrapped_llm_chat
    f_return_val = f(_self, messages, **kwargs)
                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/irisowner/.local/lib/python3.12/site-packages/llama_index/llms/ollama/base.py", line 322, in chat
    response = self.client.chat(
               ^^^^^^^^^^^^^^^^^
  File "/home/irisowner/.local/lib/python3.12/site-packages/ollama/_client.py", line 333, in chat
    return self._request(
           ^^^^^^^^^^^^^^
  File "/home/irisowner/.local/lib/python3.12/site-packages/ollama/_client.py", line 178, in _request
    return cls(**self._request_raw(*args, **kwargs).json())
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/irisowner/.local/lib/python3.12/site-packages/ollama/_client.py", line 124, in _request_raw
    raise ConnectionError(CONNECTION_ERROR_MESSAGE) from None
ConnectionError: Failed to connect to Ollama. Please check that Ollama is downloaded, running and accessible. https://ollama.com/download