RipAI Loader Cookbook - RipAI Docs

Page Summary

Bulk discovery and LangChain integration guide for RipAI Data Packs using manifest-verified loading.

Getting Started
Installation Guide
The Data Pack
Ingesting to Pinecone
RipAI Loader
PDF Convertibility Score
RipAI Loader: Bulk Discovery and Integration
Technical implementation guide for ingesting manifest-verified RipAI Data Packs into a LangChain-ready workflow.
RipPDF_Export
root folder is misconfigured, recursive discovery returns zero documents.
Environment and API Configuration
Python 3.10 or higher is recommended.
Install required libraries:
file in your project root:
Export Directory Setup
Create a root folder named
in your project.
Move Data Pack folders into this root directory.
Do not rename or modify internal Data Pack files.
Required structure:
The Engine: RipPDFLoader.py
Save this as
RipPDFLoader.py
in your project root:
Implementation: test_loader.py
test_loader.py
to your local root folder:
Run the loader:
Deployment and Troubleshooting Checklist
Folder discovery returns 0 chunks
points to the folder containing Data Pack folders, not one specific Data Pack.
Data Packs are skipped
Each Data Pack folder must include a valid
Windows path errors
Use raw path strings like
r"C:\\path\\to\\RipPDF_Export"
Text encoding issues
Ready for Vector Store Integration
Once verification passes, connect the loaded documents to your embedding and vector store pipeline.
Back to Pinecone Guide
Open PDF Score Tool