can we use multiple result_type: ```LlamaParse(result

At a glance

The post asks if multiple result_type can be used with LlamaParse, and the comments provide a detailed answer. A community member confirms that yes, you can use multiple result_type with LlamaParse, which determines the format of the parsed data. The two available options are "markdown" and "text". An example is provided showing how to load data in both formats. The community member also notes that the actual path to the PDF file needs to be used instead of the example path provided.

aandysingal

can we use multiple result_type:

Plain Text

LlamaParse(result_type="markdown").load_data("./apple_2021_10k.pdf")

2 comments

kkapa.ai

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kkapa.ai

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Yes, you can use multiple result_type with LlamaParse. The result_type parameter in LlamaParse determines the format of the parsed data. The two available options are "markdown" and "text".

Here is an example of how you can use it:

Plain Text

from llama_parse import LlamaParse

# Load data as markdown
docs_markdown = LlamaParse(result_type="markdown").load_data("./apple_2021_10k.pdf")

# Load data as text
docs_text = LlamaParse(result_type="text").load_data("./apple_2021_10k.pdf")

In the above code, docs_markdown will contain the parsed data in markdown format, while docs_text will contain the parsed data in plain text format.

Please note that you need to replace "./apple_2021_10k.pdf" with the actual path to your PDF file.

Sources:

LlamaIndex > En > Latest > Examples > Llm > set up parser ()
LlamaIndex > En > Latest > Understanding > Agent > Enhancing with LlamaParse Part 1 ()

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can we use multiple result_type: ```LlamaParse(result_type="markdown").load_data("./apple_