Building docling-server: a one-command document API for our AI pipeline
📰 Dev.to · Vineeth N Krishnan
Learn how to build a one-command document API using Docker Compose, FastAPI, Celery, and nginx to simplify AI pipeline workflows
Action Steps
- Wrap docling into a Docker Compose setup to containerize the application
- Use FastAPI to create a RESTful API for document processing
- Configure Celery for asynchronous task handling and queue management
- Set up nginx as a reverse proxy for secure and scalable API access
- Test the docling-server API with sample documents to ensure clean markdown output
Who Needs to Know This
DevOps engineers and AI developers can benefit from this setup to streamline document processing and focus on core AI tasks
Key Insight
💡 Containerizing document processing with Docker Compose and using a RESTful API can significantly simplify AI pipeline workflows
Share This
📄 Simplify AI workflows with a one-command document API using Docker Compose, FastAPI, Celery, and nginx! 🚀
Key Takeaways
Learn how to build a one-command document API using Docker Compose, FastAPI, Celery, and nginx to simplify AI pipeline workflows
Full Article
Why I wrapped docling into a full Docker Compose setup with FastAPI, Celery, and nginx — so our AI project could stop worrying about messy PDFs, Word files, and scanned junk, and just get clean markdown back.
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