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TypeError: Object of type Tag is not JSON serializable #18

@richlysakowski

Description

@richlysakowski

When loading URLs I get this error message. I tried just loading the ThinkRAG webpage.
I got this same error with other webpages.

I am running ThinkRAG locally on Windows 10 Pro, Ollama, Llama3 LLM.

I tried fixing the code after these two errors, but I have not fixed it yet. I will post and synch the solution if I can get it working on my local installation.
#########################################################
TypeError: Object of type Tag is not JSON serializable
Traceback:

File "C:\ProgramData\Anaconda3\envs\ThinkRAG\Lib\site-packages\streamlit\runtime\scriptrunner\exec_code.py", line 88, in exec_func_with_error_handling
result = func()
^^^^^^
File "C:\ProgramData\Anaconda3\envs\ThinkRAG\Lib\site-packages\streamlit\runtime\scriptrunner\script_runner.py", line 579, in code_to_exec
exec(code, module.dict)
File "C:\Users\PowerUser\Documents\Github_RSL_Utils\ThinkRAG\app.py", line 55, in
pg.run()
File "C:\ProgramData\Anaconda3\envs\ThinkRAG\Lib\site-packages\streamlit\navigation\page.py", line 303, in run
exec(code, module.dict)
File "C:\Users\PowerUser\Documents\Github_RSL_Utils\ThinkRAG\frontend\KB_Web.py", line 61, in
handle_website()
File "C:\Users\PowerUser\Documents\Github_RSL_Utils\ThinkRAG\frontend\KB_Web.py", line 55, in handle_website
st.session_state.index_manager.load_websites(st.session_state["websites"], chunk_size, chunk_overlap)
File "C:\Users\PowerUser\Documents\Github_RSL_Utils\ThinkRAG\server\index.py", line 96, in load_websites
nodes = pipeline.run(documents=documents)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\PowerUser\Documents\Github_RSL_Utils\ThinkRAG\server\ingestion.py", line 52, in run
nodes = super().run(documents=documents)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\ProgramData\Anaconda3\envs\ThinkRAG\Lib\site-packages\llama_index\core\instrumentation\dispatcher.py", line 311, in wrapper
result = func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "C:\ProgramData\Anaconda3\envs\ThinkRAG\Lib\site-packages\llama_index\core\ingestion\pipeline.py", line 560, in run
self.vector_store.add(nodes_with_embeddings)
File "C:\ProgramData\Anaconda3\envs\ThinkRAG\Lib\site-packages\llama_index\core\vector_stores\simple.py", line 257, in add
metadata = node_to_metadata_dict(
^^^^^^^^^^^^^^^^^^^^^^
File "C:\ProgramData\Anaconda3\envs\ThinkRAG\Lib\site-packages\llama_index\core\vector_stores\utils.py", line 53, in node_to_metadata_dict
metadata["node_content"] = json.dumps(node_dict)
^^^^^^^^^^^^^^^^^^^^^
File "C:\ProgramData\Anaconda3\envs\ThinkRAG\Lib\json_init
.py", line 231, in dumps
return _default_encoder.encode(obj)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\ProgramData\Anaconda3\envs\ThinkRAG\Lib\json\encoder.py", line 200, in encode
chunks = self.iterencode(o, _one_shot=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\ProgramData\Anaconda3\envs\ThinkRAG\Lib\json\encoder.py", line 258, in iterencode
return _iterencode(o, 0)
^^^^^^^^^^^^^^^^^
File "C:\ProgramData\Anaconda3\envs\ThinkRAG\Lib\json\encoder.py", line 180, in default
raise TypeError(f'Object of type {o.class.name} '

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