llama-index-readers-file

LlamaIndex Readers Integration: File

pip install llama-index-readers-file

This is the default integration for different loaders that are used within SimpleDirectoryReader.

Provides support for the following loaders:

• DocxReader
• HWPReader
• PDFReader
• EpubReader
• FlatReader
• HTMLTagReader
• ImageCaptionReader
• ImageReader
• ImageVisionLLMReader
• IPYNBReader
• MarkdownReader
• MboxReader
• PptxReader
• PandasCSVReader
• VideoAudioReader
• UnstructuredReader
• PyMuPDFReader
• ImageTabularChartReader
• XMLReader
• PagedCSVReader
• CSVReader
• RTFReader

Installation

pip install llama-index-readers-file

Usage

Once installed, You can import any of the loader. Here's an example usage of one of the loader.

from llama_index.core import SimpleDirectoryReader
from llama_index.readers.file import (
    DocxReader,
    HWPReader,
    PDFReader,
    EpubReader,
    FlatReader,
    HTMLTagReader,
    ImageCaptionReader,
    ImageReader,
    ImageVisionLLMReader,
    IPYNBReader,
    MarkdownReader,
    MboxReader,
    PptxReader,
    PandasCSVReader,
    VideoAudioReader,
    UnstructuredReader,
    PyMuPDFReader,
    ImageTabularChartReader,
    XMLReader,
    PagedCSVReader,
    CSVReader,
    RTFReader,
)

# PDF Reader with `SimpleDirectoryReader`
parser = PDFReader()
file_extractor = {".pdf": parser}
documents = SimpleDirectoryReader(
    "./data", file_extractor=file_extractor
).load_data()

# Docx Reader example
parser = DocxReader()
file_extractor = {".docx": parser}
documents = SimpleDirectoryReader(
    "./data", file_extractor=file_extractor
).load_data()

# HWP Reader example
parser = HWPReader()
file_extractor = {".hwp": parser}
documents = SimpleDirectoryReader(
    "./data", file_extractor=file_extractor
).load_data()

# Epub Reader example
parser = EpubReader()
file_extractor = {".epub": parser}
documents = SimpleDirectoryReader(
    "./data", file_extractor=file_extractor
).load_data()

# Flat Reader example
parser = FlatReader()
file_extractor = {".txt": parser}
documents = SimpleDirectoryReader(
    "./data", file_extractor=file_extractor
).load_data()

# HTML Tag Reader example
parser = HTMLTagReader()
file_extractor = {".html": parser}
documents = SimpleDirectoryReader(
    "./data", file_extractor=file_extractor
).load_data()

# Image Reader example
parser = ImageReader()
file_extractor = {
    ".jpg": parser,
    ".jpeg": parser,
    ".png": parser,
}  # Add other image formats as needed
documents = SimpleDirectoryReader(
    "./data", file_extractor=file_extractor
).load_data()

# IPYNB Reader example
parser = IPYNBReader()
file_extractor = {".ipynb": parser}
documents = SimpleDirectoryReader(
    "./data", file_extractor=file_extractor
).load_data()

# Markdown Reader example
parser = MarkdownReader()
file_extractor = {".md": parser}
documents = SimpleDirectoryReader(
    "./data", file_extractor=file_extractor
).load_data()

# Mbox Reader example
parser = MboxReader()
file_extractor = {".mbox": parser}
documents = SimpleDirectoryReader(
    "./data", file_extractor=file_extractor
).load_data()

# Pptx Reader example
parser = PptxReader()
file_extractor = {".pptx": parser}
documents = SimpleDirectoryReader(
    "./data", file_extractor=file_extractor
).load_data()


# Pandas CSV Reader example
parser = PandasCSVReader()
file_extractor = {".csv": parser}  # Add other CSV formats as needed
documents = SimpleDirectoryReader(
    "./data", file_extractor=file_extractor
).load_data()

# PyMuPDF Reader example
parser = PyMuPDFReader()
file_extractor = {".pdf": parser}
documents = SimpleDirectoryReader(
    "./data", file_extractor=file_extractor
).load_data()

# XML Reader example
parser = XMLReader()
file_extractor = {".xml": parser}
documents = SimpleDirectoryReader(
    "./data", file_extractor=file_extractor
).load_data()

# Paged CSV Reader example
parser = PagedCSVReader()
file_extractor = {".csv": parser}  # Add other CSV formats as needed
documents = SimpleDirectoryReader(
    "./data", file_extractor=file_extractor
).load_data()

# CSV Reader example
parser = CSVReader()
file_extractor = {".csv": parser}  # Add other CSV formats as needed
documents = SimpleDirectoryReader(
    "./data", file_extractor=file_extractor
).load_data()

This loader is designed to be used as a way to load data into LlamaIndex.