MathpixPDFLoader integration

Integrate with the MathpixPDFLoader document loader using LangChain Python.

Inspired by Daniel Gross’s snippet here: https://gist.github.com/danielgross/3ab4104e14faccc12b49200843adab21

Overview

Integration details

Class	Package	Local	Serializable	JS support
MathPixPDFLoader	langchain-community	✅	❌	❌

Loader features

Source	Document Lazy Loading	Native Async Support
MathPixPDFLoader	✅	❌

Setup

Credentials

Sign up for Mathpix and create an API key to set the MATHPIX_API_KEY variables in your environment

import getpass
import os

if "MATHPIX_API_KEY" not in os.environ:
    os.environ["MATHPIX_API_KEY"] = getpass.getpass("Enter your Mathpix API key: ")

To enable automated tracing of your model calls, set your LangSmith API key:

os.environ["LANGSMITH_API_KEY"] = getpass.getpass("Enter your LangSmith API key: ")
os.environ["LANGSMITH_TRACING"] = "true"

Installation

Install langchain-community.

pip install -qU langchain-community

Initialization

Now we are ready to initialize our loader:

from langchain_community.document_loaders import MathpixPDFLoader

file_path = "./example_data/layout-parser-paper.pdf"
loader = MathpixPDFLoader(file_path)

Load

docs = loader.load()
docs[0]

print(docs[0].metadata)

Lazy load

page = []
for doc in loader.lazy_load():
    page.append(doc)
    if len(page) >= 10:
        # do some paged operation, e.g.
        # index.upsert(page)

        page = []

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API reference

For detailed documentation of all MathpixPDFLoader features and configurations head to the API reference

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