MathPixPDFLoader
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: ")
If you want to get automated best in-class tracing of your model calls you can also set your LangSmith API key by uncommenting below:
# 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)
API Reference:MathpixPDFLoader
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 = []
API reference
For detailed documentation of all MathpixPDFLoader features and configurations head to the API reference: https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.pdf.MathpixPDFLoader.html
Related
- Document loader conceptual guide
- Document loader how-to guides