Scalable PDF Document Processing with DataChain and Unstructured.io

Key points covered:

- Scalable document processing without moving data
- Filtering and lazy evaluation for efficient processing
- Creating custom logic with user-defined functions
- Versioning and metadata layer management
- Transforming messy document collections into structured tables

Whether you're working on machine learning features, RAG systems, or any large-scale document analysis, this tutorial will show you how to streamline your workflow.

Try it yourself with the free, open-source libraries:

#NLP #MachineLearning #DataProcessing #OpenSource #PythonLibraries

[rahulguptargrg]

Great offering. Thank You. How can I do the whole thing locally? I have a workstation with appropriate capacity. Please guide 🙏

[awakenwithoutcoffee]

unfortunately it is still unclear what datachain is able to offer : are there any benchmarks available ? what benefit does it have over writing our own async data-uploaders ?
We are looking for a scalable data-parsing solution for our Postgres back-end (B2B SaaS).