将杂乱的文档集合转换为结构化行数据，使用 DocETL

Define repeatable extraction pipelines that pull fields from large document collections, normalize outputs, and audit failures across the corpus.

Prerequisites

Python 3.10+, DocETL, document corpus, extraction configuration

Installation

Use the upstream install or setup path that matches your environment:

• Use Docker (recommended for quick start): make docker
• pip install docetl
• Run Docker:
• make docker

Requirements and caveats from upstream:

• A Python package for running production pipelines from the command line or Python code

• 2. 📦 Python Package (For Production Use)

• If you want to use DocETL as a Python package:

Basic usage or getting-started notes:

• 🚀 Getting Started

• DocWrangler is hosted at docetl.org/playground. But to run the playground locally, you can either:

• OpenAI API key

• Source: https://github.com/1991513ccie-png/skills

• Extracted from upstream docs: https://raw.githubusercontent.com/ucbepic/docetl/HEAD/README.md

Documentation

• https://docetl.org/