Registry / llm-agents / llama-index-readers-llama-parse

llama-index-readers-llama-parse

library0.6.1pypypi✓ verified 24d ago

The `llama-index-readers-llama-parse` library provides a LlamaIndex reader that integrates with LlamaParse. It enables parsing of various complex file types (like PDFs, PPTs, etc.) into structured markdown, which can then be easily ingested and processed by LlamaIndex for RAG and other LLM applications. The current version is 0.6.1, and it's part of the broader LlamaIndex ecosystem, implying a regular release cadence with LlamaIndex.

llm-agents ai-ml

pip install llama-index-readers-llama-parse llama-parse

package ↗homepage ↗

INSTALL

IMPORT

SIG · LLAMA-INDEX-READER

llama-index-readers-llama-parse

llm-agentspythonv0.6.1

Install

19.5s avg

Import

—

Disk

255MB

Pass rate

10/ 10

Env Coverage10 / 10

glibc

3.9–3.13

musl

3.9–3.13

Install & Compatibility

Where this runs

tested against v0.6.1 · pip install

no network on importno background threads

Install × environment matrix

Each cell = how many times install + import succeeded across repeated harness runs. Partial = flaky.
glibc = Debian/Ubuntu slim · musl = Alpine Linux

musl

py 3.10–3.95 runs

installs and imports cleanly · install 0.0s · import 0.000s · 244.1MB

glibc

py 3.10–3.95 runs

installs and imports cleanly · install 19.5s · import 0.000s · 240MB

255MB installed

● package 255MB

Code

Verified usage

Verified import paths — ran on the pinned version, not inferred.

LlamaParseReader

✓ from llama_index.readers.llama_parse import LlamaParseReader

This quickstart demonstrates how to initialize the `LlamaParseReader` and load data from a local file. It highlights the mandatory `LLAMAPARSE_API_KEY` and shows how to access the parsed documents. Remember to replace 'path/to/your/document.pdf' with an actual file path.

import os from llama_index.readers.llama_parse import LlamaParseReader # Ensure you have your LlamaParse API key set as an environment variable # os.environ["LLAMAPARSE_API_KEY"] = "your-api-key" api_key = os.environ.get('LLAMAPARSE_API_KEY', '') if not api_key: raise ValueError("LLAMAPARSE_API_KEY environment variable not set.") # Initialize the LlamaParse reader # For advanced options, see LlamaParseReader documentation (e.g., result_type='markdown') parser = LlamaParseReader(api_key=api_key, verbose=True) # Load data from a file (replace 'path/to/your/document.pdf' with an actual file) # LlamaParse supports various file types like PDF, PPTX, DOCX, TXT, CSV, JSON, XML # Note: This is an asynchronous operation and may take time to complete. # The load_data method will poll LlamaParse until the parsing is complete. try: documents = parser.load_data("path/to/your/document.pdf") print(f"Successfully parsed {len(documents)} document(s).") for doc in documents: print(f"Document ID: {doc.id_}") print(f"First 200 chars: {doc.text[:200]}...") except Exception as e: print(f"Error parsing document: {e}") print("Make sure 'path/to/your/document.pdf' exists and your API key is valid.")

Debug

Known issues

gotchaA `LLAMAPARSE_API_KEY` is mandatory for using LlamaParseReader. This key must be obtained from LlamaIndex and provided either directly during initialization or via the environment variable `LLAMAPARSE_API_KEY`.

fix

Set `os.environ['LLAMAPARSE_API_KEY'] = 'your_key_here'` or pass `api_key='your_key_here'` to the `LlamaParseReader` constructor.

affects: All

gotchaLlamaParse is a commercial service. While a free tier may be available, extensive usage or specific features might incur costs or be subject to rate limits. Be aware of your LlamaParse plan and associated usage policies.

fix

Monitor your LlamaParse usage and consult the LlamaParse documentation for pricing and rate limit details.

affects: All

gotchaThe `llama-parse` package is a separate dependency and must be explicitly installed alongside `llama-index-readers-llama-parse`. Failing to install `llama-parse` will result in runtime errors.

fix

Ensure both `llama-index-readers-llama-parse` and `llama-parse` are installed using `pip install llama-index-readers-llama-parse llama-parse`.

affects: All

gotchaParsing large or complex documents with LlamaParse can be time-consuming. The `load_data()` method by default polls the LlamaParse API until the job is complete, which can lead to long execution times for synchronous calls. Consider using `load_data_async()` for non-blocking operations in production environments.

fix

For improved responsiveness in asynchronous applications, use `await parser.load_data_async(...)`.

affects: All

Upgrade

Version history

0.6.1latest on PyPI · released Mar 25, 2026

Audit

Dependencies

llama-parserequiredCore parsing engine used by the reader.

llama-index-corerequiredBase LlamaIndex package (peer dependency for LlamaIndex applications).

Agent activity

19 hits · last 30 days

node

OpenAI (training)

Resources

packagehttps://pypi.org/project/llama-index-readers-llama-parse/ ↗

homepagehttps://www.llamaindex.ai ↗