ucbepic/docetl

A system for agentic LLM-powered data processing and ETL

About the project

DocETL is a system for processing large collections of structured or unstructured data with language models through declarative pipelines. It is used by developers and researchers to extract, transform, filter, and summarize data into queryable tables using Python, YAML, or its visual interface. The catalogue skill helps coding agents install and create DocETL pipelines.

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docetl

ucbepic/docetl

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Build and run LLM-powered data processing pipelines with DocETL. Use when users say "docetl", want to analyze unstructured data, process documents, extract information, or run ETL tasks on text. Helps with data collection, pipeline creation, execution, and optimization.

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