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Co-authored-by: jacoblee93 <jacoblee93@gmail.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
19 lines
816 B
Plaintext
19 lines
816 B
Plaintext
# 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](/docs/modules/chains/popular/summarize.html): 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](/api_reference/utils.html): 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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