Files
langchain/docs/use_cases/summarization.md
T
Harrison Chase 705431aecc big docs refactor (#1978)
Co-authored-by: Ankush Gola <ankush.gola@gmail.com>
2023-03-26 19:49:46 -07:00

911 B

Summarization

.. note:: Conceptual Guide <https://docs.langchain.com/docs/use-cases/summarization>_

Summarization involves creating a smaller summary of multiple longer documents. This can be useful for distilling long documents into the core pieces of information.

The recommended way to get started using a summarization chain is:

from langchain.chains.summarize import load_summarize_chain
chain = load_summarize_chain(llm, chain_type="map_reduce")
chain.run(docs)

The following resources exist:

Additional related resources include:

  • Utilities for working with Documents: Guides on how to use several of the utilities which will prove helpful for this task, including Text Splitters (for splitting up long documents).