@Logan M

Alwiiiiiiiin · 2024-05-12T02:48:14.928Z

@Logan M Hi, Is there any examples of using JsonQueryEngine with open source llms?I tried a few of them and all generate ''wrong json path'' errors as they're not compatible with generating JSONs

@Logan M
Thanks for the reply,
I've tried Llama3 and doesn't work!
Another question, I have the following JSON reader, however, it cannot index my JSON file!
You know what's the reason? (I tried different files)

from llama_index.readers.json import JSONReader

# Initialize JSONReader
reader = JSONReader(
    # The number of levels to go back in the JSON tree. Set to 0 to traverse all levels. Default is None.
    # levels_back="None",
    # # The maximum number of characters a JSON fragment would be collapsed in the output. Default is None.
    collapse_length="20",
    # # If True, ensures that the output is ASCII-encoded. Default is False.
    ensure_ascii="True",
    # # If True, indicates that the file is in JSONL (JSON Lines) format. Default is False.
    # is_jsonl="False",
    # # If True, removes lines containing only formatting from the output. Default is True.
    clean_json="False",
)

documents = reader.load_data(input_file="./xxx.json", extra_info={})

vector_index = VectorStoreIndex.from_documents(documents, show_progress=True)

I also tried levels_back="0", however, getting this error:
TypeError: '<=' not supported between instances of 'int' and 'str'

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@Logan M