Tried Agentic chucking using Ollama but got error

### What is the issue? Code: from langchain_community.llms import Ollama from langchain.chains import create_extraction_chain_pydantic from langchain_core.pydantic_v1 import BaseModel from typing import Optional, List llm = Ollama(model='llama3') from langchain import hub prompt = hub.pull("wfh/proposal-indexing") runnable = prompt | llm class Sentences(BaseModel): sentences: List[str] # Extraction extraction_chain = create_extraction_chain_pydantic(pydantic_schema=Sentences, llm=llm) def get_propositions(text): runnable_output = runnable.invoke({ "input": text }).content propositions = extraction_chain.run(runnable_output)[0].sentences return propositions essay_propositions = [] for i, para in enumerate(pdf_text_document): propositions = get_propositions(para) essay_propositions.extend(propositions) Error: File g:\AI arbiter V2\env\Lib\site-packages\urllib3\connectionpool.py:715, in HTTPConnectionPool.urlopen(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, **response_kw) [714](file:///G:/AI%20arbiter%20V2/env/Lib/site-packages/urllib3/connectionpool.py:714) # Make the request on the httplib connection object. --> [715](file:///G:/AI%20arbiter%20V2/env/Lib/site-packages/urllib3/connectionpool.py:715) httplib_response = self._make_request( [716](file:///G:/AI%20arbiter%20V2/env/Lib/site-packages/urllib3/connectionpool.py:716) conn, [717](file:///G:/AI%20arbiter%20V2/env/Lib/site-packages/urllib3/connectionpool.py:717) method, [718](file:///G:/AI%20arbiter%20V2/env/Lib/site-packages/urllib3/connectionpool.py:718) url, [719](file:///G:/AI%20arbiter%20V2/env/Lib/site-packages/urllib3/connectionpool.py:719) timeout=timeout_obj, [720](file:///G:/AI%20arbiter%20V2/env/Lib/site-packages/urllib3/connectionpool.py:720) body=body, [721](file:///G:/AI%20arbiter%20V2/env/Lib/site-packages/urllib3/connection…