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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:
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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