🔄 ETL pipelines with LLMs? DocETL makes it possible with a declarative YAML interface.
DocETL is an open source tool from UC Berkeley for creating and executing LLM-powered data processing pipelines. Ideal when you need maximum correctness over complex documents.
When to use it?
- 📄 Long documents that don’t fit in a single prompt
- 🗂️ Map-reduce tasks over document collections
- ✅ Automatic validation with retries when it fails
- 🔍 Entity resolution across documents
Key features:
- 📝 Low-code: define your pipeline in YAML with full control over prompts
- 🤖 Automatic optimizer: experiments with different pipeline rewrites
- 🏥 Multi-domain: law, medicine, social sciences
- ⚡ Claude integration: describe your task and auto-generate the pipeline
💡 Explanation in a nutshell#
ETL stands for Extract, Transform, Load — the process of moving and processing data. DocETL adds AI in the middle: instead of rigid rules to transform documents, you tell the LLM what you want done at each step. It’s ideal for processing legal contracts, medical records, or any unstructured document that previously required manual work.
More information at the link 👇
Also published on LinkedIn.
