Document loaders for AI-Parrot RAG pipelines

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  • License Expression: MIT
    SPDX License Expression
  • Author: Jesus Lara
  • Tags ai , rag , document-loaders , pdf , youtube , agents , asyncio
  • Requires: Python >=3.11
  • Provides-Extra: youtube , audio , pdf , web , ebook , video , document , scraping , ml , ml-heavy , all
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Project description

AI-Parrot Loaders

ai-parrot-loaders provides document loaders for AI-Parrot RAG (Retrieval-Augmented Generation) pipelines. Each loader transforms a specific document format into text chunks that can be embedded and searched.

Installation

pip install ai-parrot-loaders

Install only the extras you need:

pip install ai-parrot-loaders[pdf]
pip install ai-parrot-loaders[youtube]
pip install ai-parrot-loaders[audio]
pip install ai-parrot-loaders[web]

# Everything
pip install ai-parrot-loaders[all]

Available Extras

Extra Description
pdf PDF loading with OCR support (PaddleOCR)
youtube YouTube transcript and video download
audio Audio transcription (WhisperX, pyannote)
web HTML/web page loading
ebook EPUB e-book loading
video Video processing (MoviePy, FFmpeg)

Supported Formats

Loader Format Description
TextLoader .txt Plain text files
CSVLoader .csv CSV files
ExcelLoader .xlsx, .xls Excel spreadsheets
MSWordLoader .docx Microsoft Word documents
HTMLLoader .html HTML files
MarkdownLoader .md Markdown files
PDFLoader .pdf PDF documents
PDFMarkdownLoader .pdf PDF to Markdown conversion
PDFTablesLoader .pdf PDF table extraction
PowerPointLoader .pptx PowerPoint presentations
EpubLoader .epub EPUB e-books
WebLoader URL Web pages
YoutubeLoader URL YouTube video transcripts
VimeoLoader URL Vimeo video transcripts
AudioLoader .mp3, .wav, etc. Audio transcription
VideoLoader URL Video download + transcription
VideoLocalLoader .mp4, etc. Local video transcription
DocumentConverterLoader multiple Auto-detect format and convert

Quick Start

from parrot_loaders.factory import get_loader_class

# Auto-detect loader by file extension
LoaderClass = get_loader_class("report.pdf")
loader = LoaderClass(source="report.pdf")
documents = await loader.load()

for doc in documents:
    print(doc.page_content[:200])

Or use a specific loader directly:

from parrot_loaders.youtube import YoutubeLoader

loader = YoutubeLoader(source="https://www.youtube.com/watch?v=...")
documents = await loader.load()

Requirements

License

MIT

Project details

Verified details

These details have been verified by PyPI
Project links
GitHub Statistics
Maintainers
Avatar for phenobarbital from gravatar.com phenobarbital

Unverified details

These details have not been verified by PyPI
Meta
  • License Expression: MIT
    SPDX License Expression
  • Author: Jesus Lara
  • Tags ai , rag , document-loaders , pdf , youtube , agents , asyncio
  • Requires: Python >=3.11
  • Provides-Extra: youtube , audio , pdf , web , ebook , video , document , scraping , ml , ml-heavy , all
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