what is the difference between defining `chunk_size_limit` within `ServiceContext.from_def

Please stand by @Lau Fla as I search the knowledge base. We are experiencing especially high traffic right now and might take longer than usual. :wave:

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Based on the information provided in the extracts, chunk_size_limit is not a parameter for SimpleNodeParser. It is a parameter for both PromptHelper and ServiceContext.

When you define chunk_size_limit within PromptHelper.from_llm_predictor, you are setting the maximum chunk size to use for the PromptHelper instance. This utility helps fill in the prompt, split the text, and fill in context information according to necessary token limitations.

On the other hand, when you define chunk_size_limit within ServiceContext.from_defaults, you are setting the maximum chunk size limit for the ServiceContext instance. The ServiceContext is a utility container for LlamaIndex index and query classes.

In your code snippet, you are defining a TokenTextSplitter with chunk_size and chunk_overlap parameters and using it in a SimpleNodeParser. This is different from setting the chunk_size_limit in PromptHelper or ServiceContext.

To clarify, chunk_size_limit should be defined within PromptHelper or ServiceContext as needed, and not within SimpleNodeParser.
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@kapa.ai give different detailed examples on how chunk_size_limit for the PromptHelper affects the query to the LLM, and how it effects indexes/query classes for ServiceContext.

Let me check the knowledge base for you. One moment! :books:

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Hmm, I don't know enough to give you a confident answer yet. However, you can refer to the LlamaIndex documentation for more information on PromptHelper and ServiceContext:

• PromptHelper documentation (https://gpt-index.readthedocs.io/en/latest/reference/service_context/prompt_helper.html)
• ServiceContext documentation (https://gpt-index.readthedocs.io/en/latest/reference/service_context.html)

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