# 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: ```python from langchain.chains.summarize import load_summarize_chain chain = load_summarize_chain(llm, chain_type="map_reduce") chain.run(docs) ``` The following resources exist: - [Summarization notebook](/docs/modules/chains/popular/summarize.html): A notebook walking through how to accomplish this task. Additional related resources include: - [Modules for working with documents](/docs/modules/data_connection): Core components for working with documents.