Chromedb Collection disappears some time later

The chatbot depends upon a RAG system with Chromadb. It works fine for 5-10 minutes.
But later it generates error message stating collection does not exit.
However as seen in the image, there is the collection and chat bot used it for answering question.
Suddenly, collection is deleted from the cloud.
When I reboot the app, it works again but then in 5 minutes, the same error happens.
Error log is below.
Thank you.
KMK

ERROR LOG:

/mount/src/kmk-document-qa/run_interface.py:55 in <module>                    
                                                                                
    52                                                                          
    53                                                                          
    54 if __name__ == "__main__":                                               
  ❱ 55 │   main_interface()                                                     
    56                                                                          
                                                                                
  /mount/src/kmk-document-qa/run_interface.py:45 in main_interface              
                                                                                
    42 │   │   # Add user message to chat history                               
    43 │   │   st.session_state.messages.append({"role": "user", "content": pr  
    44 │   │                                                                    
  ❱ 45 │   │   response = generateAnswer(RAG_LLM, st.session_state.knowledge_b  
    46 │   │                                                                    
    47 │   │   # Display assistant response in chat message container           
    48 │   │   with st.chat_message("assistant"):                               
                                                                                
  /home/adminuser/venv/lib/python3.12/site-packages/rag_kmk/chat_flow/llm_inte  
  rface.py:143 in generateAnswer                                                
                                                                                
    140   return response.text                                                  
    141                                                                         
    142 def generateAnswer(RAG_LLM, chroma_collection,query,n_results=10, only  
  ❱ 143 │   retrieved_documents= retrieve_chunks(chroma_collection, query, n_r  
    144 │   prompt = "QUESTION: "+ query                                        
    145 │   context = "\n EXCERPTS: "+ "\n".join(retrieved_documents)           
    146 │   if not only_response:                                               
                                                                                
  /home/adminuser/venv/lib/python3.12/site-packages/rag_kmk/vector_db/query.py  
  :14 in retrieve_chunks                                                        
                                                                                
    11 │   │   │   n_results=n_results)                                         
    12 │                                                                        
    13 │   else:                                                                
  ❱ 14 │   │   results = chroma_collection.query(                               
    15 │   │   │   query_texts=[query],                                         
    16 │   │   │   include= [ "documents","metadatas",'distances' ],            
    17 │   │   │   n_results=n_results)                                         
                                                                                
  /home/adminuser/venv/lib/python3.12/site-packages/chromadb/api/models/Collec  
  tion.py:195 in query                                                          
                                                                                
    192 │   │   │   include,                                                    
    193 │   │   )                                                               
    194 │   │                                                                   
  ❱ 195 │   │   query_results = self._client._query(                            
    196 │   │   │   collection_id=self.id,                                      
    197 │   │   │   query_embeddings=valid_query_embeddings,                    
    198 │   │   │   n_results=valid_n_results,                                  
                                                                                
  /home/adminuser/venv/lib/python3.12/site-packages/chromadb/telemetry/opentel  
  emetry/__init__.py:146 in wrapper                                             
                                                                                
    143 │   │   │   def wrapper(*args, **kwargs):                               
    144 │   │   │   │   global tracer, granularity                              
    145 │   │   │   │   if trace_granularity < granularity:                     
  ❱ 146 │   │   │   │   │   return f(*args, **kwargs)                           
    147 │   │   │   │   if not tracer:                                          
    148 │   │   │   │   │   return f(*args, **kwargs)                           
    149 │   │   │   │   with tracer.start_as_current_span(trace_name, attribut  
                                                                                
  /home/adminuser/venv/lib/python3.12/site-packages/chromadb/rate_limiting/__i  
  nit__.py:47 in wrapper                                                        
                                                                                
    44 │   │   │   # If not rate limiting provider is present, just run and re  
    45 │   │   │                                                                
    46 │   │   │   if self._system.settings.chroma_rate_limiting_provider_impl  
  ❱ 47 │   │   │   │   return f(self, *args, **kwargs)                          
    48 │   │   │                                                                
    49 │   │   │   if subject in kwargs:                                        
    50 │   │   │   │   subject_value = kwargs[subject]                          
                                                                                
  /home/adminuser/venv/lib/python3.12/site-packages/chromadb/api/segment.py:69  
  5 in _query                                                                   
                                                                                
    692 │   │                                                                   
    693 │   │   allowed_ids = None                                              
    694 │   │                                                                   
  ❱ 695 │   │   coll = self._get_collection(collection_id)                      
    696 │   │   for embedding in query_embeddings:                              
    697 │   │   │   self._validate_dimension(coll, len(embedding), update=Fals  
    698                                                                         
                                                                                
  /home/adminuser/venv/lib/python3.12/site-packages/chromadb/telemetry/opentel  
  emetry/__init__.py:146 in wrapper                                             
                                                                                
    143 │   │   │   def wrapper(*args, **kwargs):                               
    144 │   │   │   │   global tracer, granularity                              
    145 │   │   │   │   if trace_granularity < granularity:                     
  ❱ 146 │   │   │   │   │   return f(*args, **kwargs)                           
    147 │   │   │   │   if not tracer:                                          
    148 │   │   │   │   │   return f(*args, **kwargs)                           
    149 │   │   │   │   with tracer.start_as_current_span(trace_name, attribut  
                                                                                
  /home/adminuser/venv/lib/python3.12/site-packages/chromadb/api/segment.py:85  
  2 in _get_collection                                                          
                                                                                
    849 │   │   if collection_id not in self._collection_cache:                 
    850 │   │   │   collections = self._sysdb.get_collections(id=collection_id  
    851 │   │   │   if not collections:                                         
  ❱ 852 │   │   │   │   raise InvalidCollectionException(                       
    853 │   │   │   │   │   f"Collection {collection_id} does not exist."       
    854 │   │   │   │   )                                                       
    855 │   │   │   self._collection_cache[collection_id] = collections[0]      
────────────────────────────────────────────────────────────────────────────────
InvalidCollectionException: Collection 6548feb9-2804-492c-8b72-117bb10e6b2e does
not exist.
2025-01-09 15:38:39.777 Uncaught app execution
Traceback (most recent call last):
  File "/home/adminuser/venv/lib/python3.12/site-packages/streamlit/runtime/scriptrunner/exec_code.py", line 88, in exec_func_with_error_handling
    result = func()
             ^^^^^^
  File "/home/adminuser/venv/lib/python3.12/site-packages/streamlit/runtime/scriptrunner/script_runner.py", line 579, in code_to_exec
    exec(code, module.__dict__)
  File "/mount/src/kmk-document-qa/run_interface.py", line 55, in <module>
    main_interface()
  File "/mount/src/kmk-document-qa/run_interface.py", line 45, in main_interface
    response = generateAnswer(RAG_LLM, st.session_state.knowledge_base, prompt)
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/adminuser/venv/lib/python3.12/site-packages/rag_kmk/chat_flow/llm_interface.py", line 143, in generateAnswer
    retrieved_documents= retrieve_chunks(chroma_collection, query, n_results, return_only_docs=True)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/adminuser/venv/lib/python3.12/site-packages/rag_kmk/vector_db/query.py", line 14, in retrieve_chunks
    results = chroma_collection.query(
              ^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/adminuser/venv/lib/python3.12/site-packages/chromadb/api/models/Collection.py", line 195, in query
    query_results = self._client._query(
                    ^^^^^^^^^^^^^^^^^^^^
  File "/home/adminuser/venv/lib/python3.12/site-packages/chromadb/telemetry/opentelemetry/__init__.py", line 146, in wrapper
    return f(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^
  File "/home/adminuser/venv/lib/python3.12/site-packages/chromadb/rate_limiting/__init__.py", line 47, in wrapper
    return f(self, *args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/adminuser/venv/lib/python3.12/site-packages/chromadb/api/segment.py", line 695, in _query
    coll = self._get_collection(collection_id)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/adminuser/venv/lib/python3.12/site-packages/chromadb/telemetry/opentelemetry/__init__.py", line 146, in wrapper
    return f(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^
  File "/home/adminuser/venv/lib/python3.12/site-packages/chromadb/api/segment.py", line 852, in _get_collection
    raise InvalidCollectionException(
chromadb.errors.InvalidCollectionException: Collection 6548feb9-2804-492c-8b72-117bb10e6b2e does not exist.
2025-01-09 15:42:41.826 Examining the path of torch.classes raised: Tried to instantiate class '__path__._path', but it does not exist!