Document loaders for AI-Parrot RAG pipelines

Navigation

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 , images , web , ebook , video , document , scraping , ml , ml-heavy , all
Classifiers
Report project as malware

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 , images , web , ebook , video , document , scraping , ml , ml-heavy , all
Classifiers

Release history Release notifications | RSS feed

0.1.71

0.1.70

0.1.68

0.1.67

0.1.66

This version

0.1.65

0.1.64

0.1.63

0.1.62

0.1.61

0.1.60

0.1.59

0.1.58

0.1.57

0.1.55

0.1.54

0.1.53

0.1.52

0.1.51

0.1.50

0.1.49

0.1.48

0.1.47

0.1.46

0.1.45

0.1.44

0.1.43

0.1.42

0.1.41

0.1.40

0.1.39

0.1.37

0.1.35

0.1.34

0.1.33

0.1.32

0.1.31

0.1.30

0.1.28

0.1.27

0.1.26

0.1.25

0.1.24

0.1.23

0.1.22

0.1.21

0.1.19

0.1.18

0.1.17

0.1.16

0.1.15

0.1.14

0.1.13

0.1.12

0.1.11

0.1.10

0.1.8

0.1.6

0.1.5

0.1.4

0.1.3

0.1.2

0.1.0

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ai_parrot_loaders-0.1.65.tar.gz (140.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

ai_parrot_loaders-0.1.65-py3-none-any.whl (147.1 kB view details)

Uploaded Python 3

File details

Details for the file ai_parrot_loaders-0.1.65.tar.gz.

File metadata

  • Download URL: ai_parrot_loaders-0.1.65.tar.gz
  • Upload date:
  • Size: 140.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for ai_parrot_loaders-0.1.65.tar.gz
Algorithm Hash digest
SHA256 35199d9de4ab1cec4c313b9d08a9b01b1a760fd94676060c8f8b46e6ca75f4ba
MD5 13c840d438147c8ec8802818cfe1daa9
BLAKE2b-256 c5d4cc48213255911d2db4b67ac596119a3fadd218ed89cf7a5feb5345450bb1

See more details on using hashes here.

Provenance

The following attestation bundles were made for ai_parrot_loaders-0.1.65.tar.gz:

Publisher: release.yml on phenobarbital/ai-parrot

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file ai_parrot_loaders-0.1.65-py3-none-any.whl.

File metadata

File hashes

Hashes for ai_parrot_loaders-0.1.65-py3-none-any.whl
Algorithm Hash digest
SHA256 60815b017893b3912b718f3e82b71625b4d28b0017348ad9aac42d7cfa35e164
MD5 4deb10668d6a9b7e230e5b0148e9f361
BLAKE2b-256 62928e3e28143060c17377990ca63fd0360226851c09870ce59451352d8b40df

See more details on using hashes here.

Provenance

The following attestation bundles were made for ai_parrot_loaders-0.1.65-py3-none-any.whl:

Publisher: release.yml on phenobarbital/ai-parrot

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page