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Applying language model logic to individual documents for extraction, filtering, or semantic ranking.
Distinct from Document Processing: Specific to LLM-driven logic applied during document processing, rather than general parsing or rendering.
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docetl is an AI-powered document ETL tool and map-reduce orchestrator designed to transform large collections of unstructured documents into structured, queryable tables using language models. It provides a declarative pipeline framework for extracting, cleaning, and transforming data from sources such as PDFs and text files into predefined schemas. The project distinguishes itself through a semantic data integration suite that enables joining datasets and resolving duplicate entities based on embedding-based similarity. It includes an interactive prompt playground for developing and optimizi
Processes individual documents with language models to perform data extraction, content filtering, and semantic ranking.