llama-index-readers-oxidize-pdf
LlamaIndex reader backed by oxidize-pdf, a fast Rust-powered PDF engine with first-class RAG chunking.
0.1.1 (2026-04-22) — Requires
oxidize-pdf>=0.4.3(oxidize-pdf-core 2.5.5). Fixes a regression carried by 0.1.0: the underlyingHybridChunkerin oxidize-pdf-core 2.5.4 re-injected just-flushed elements through its overlap branch, so eachDocumentproduced bymode="rag"contained the previous one as a prefix (quadratic accumulation). 0.1.1 is the first release where the disjointness contract is verified end-to-end by semantic regression tests; 0.1.0 should not be used for RAG ingestion.
Install
pip install llama-index-readers-oxidize-pdf
Usage
RAG chunks (default)
from llama_index.readers.oxidize_pdf import OxidizePdfReader
reader = OxidizePdfReader() # mode="rag" by default
documents = reader.load_data("paper.pdf")
for doc in documents:
print(doc.metadata["chunk_index"], doc.metadata["heading_context"])
print(doc.text[:200])
Each Document carries:
| Field | Description |
|---|---|
chunk_index |
0-based index within the document |
page_numbers |
list of 1-indexed pages covered by the chunk |
element_types |
list of semantic types detected (e.g. title, paragraph) |
heading_context |
nearest surrounding heading, or None |
token_estimate |
rough token count for budget planning |
file_path / file_name / total_pages / pdf_version |
source metadata |
One document per page
reader = OxidizePdfReader(mode="pages")
docs = reader.load_data("paper.pdf")
for doc in docs:
print(doc.metadata["page_number"], len(doc.text))
Whole PDF as markdown
reader = OxidizePdfReader(mode="markdown")
[doc] = reader.load_data("paper.pdf")
print(doc.text)
Why oxidize-pdf
- Rust parser: fast on large PDFs, low memory footprint.
- Native RAG primitives: element-disjoint semantic chunking, element partitioning, heading-aware context — no post-processing needed. The disjointness contract (no chunk's text is a substring of another's; each source element appears in exactly one chunk) is enforced by regression tests in both this reader and the underlying bridge.
- CJK friendly: compact output for multibyte documents (see oxidize-pdf 2.5.4 subsetter fixes).
- Pure Python install: ships as a wheel for Linux/macOS/Windows via the
oxidize-pdfpackage; no system dependencies.
Source
Part of oxidize-pdf-integrations, the ecosystem of integrations around oxidize-pdf. The Rust core and Python bridge live in oxidize-python.
License
MIT
Metadata
Release files for llama-index-readers-oxidize-pdf 0.1.1
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| File | Size | Uploaded | Provenance | Actions |
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Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| llama_index_readers_oxidize_pdf-0.1.1-py3-none-any.whl | Python 3 | none | any | Details for llama_index_readers_oxidize_pdf-0.1.1-py3-none-any.whl |
Total release size: 8.0 kB
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