forked from Archives/langchain
22 lines
898 B
Markdown
22 lines
898 B
Markdown
# Summarization
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> [Conceptual Guide](https://docs.langchain.com/docs/use-cases/summarization)
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Summarization involves creating a smaller summary of multiple longer documents.
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This can be useful for distilling long documents into the core pieces of information.
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The recommended way to get started using a summarization chain is:
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```python
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from langchain.chains.summarize import load_summarize_chain
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chain = load_summarize_chain(llm, chain_type="map_reduce")
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chain.run(docs)
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```
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The following resources exist:
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- [Summarization Notebook](../modules/chains/index_examples/summarize.ipynb): A notebook walking through how to accomplish this task.
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Additional related resources include:
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- [Utilities for working with Documents](../reference/utils.rst): Guides on how to use several of the utilities which will prove helpful for this task, including Text Splitters (for splitting up long documents).
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