AI Infrastructure · PyPI

llama-index-readers-oxidize-pdf

LlamaIndex reader for oxidize-pdf — fast, Rust-powered PDF parsing with element-disjoint RAG chunking

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Details

Author
Santiago Fernández Muñoz
GitHub profile
@bzsanti
Category
AI Infrastructure
Platform
PyPI
GitHub
https://github.com/bzsanti/oxidize-pdf-integrations
Framework
llamaindex
Language
python
Stars
0
First indexed
2026-05-15
Last active
—
Directory sync
2026-05-15
@bzsanti

Overview

LlamaIndex reader for oxidize-pdf — fast, Rust-powered PDF parsing with element-disjoint RAG chunking

Quick start

pip

pip install llama-index-readers-oxidize-pdf

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What llama-index-readers-oxidize-pdf can do

ragaillamaindex
  • Rag — Retrieves grounded context before answering.
  • Ai — ai task automation.
  • Llamaindex — llamaindex task automation.

Frequently asked questions

What is llama-index-readers-oxidize-pdf?
LlamaIndex reader for oxidize-pdf — fast, Rust-powered PDF parsing with element-disjoint RAG chunking
How do I install llama-index-readers-oxidize-pdf?
Use pip: `pip install llama-index-readers-oxidize-pdf`. Full setup details on the source page linked above.
Is llama-index-readers-oxidize-pdf open source?
llama-index-readers-oxidize-pdf is published on PyPI.
What are alternatives to llama-index-readers-oxidize-pdf?
Comparable agents include awesome, openclaw, AutoGPT. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for llama-index-readers-oxidize-pdf is sourced from PyPI, published by Santiago Fernández Muñoz.

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