LangExtract provides intelligent optimization solutions for very long document processing:
- parallel processing: By setting the
max_workersparameters (e.g.max_workers=4) Initiate multi-threaded processing - Intelligent chunking: The tool automatically splits long documents into logical segments to maintain contextual coherence.
- multiround extraction: Settings
num_passes=2Perform multiple extractions to improve accuracy - Model Selection: Use for complex content
gemini-2.5-proThe simple content is written ingemini-2.5-flashEquilibrium speed
Practical Example:result = lx.extract_from_url(url, prompt=prompt, examples=examples, max_workers=4, num_passes=2)
This answer comes from the articleLangExtract: open source tools to extract structured data from textThe
May not be reproduced without permission:AI productivity tools " How to optimize the performance of LangExtract for processing very long documents (e.g., entire novels)?
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