langchain.chains.summarize.chain.load_summarize_chain

langchain.chains.summarize.chain.load_summarize_chain(llm: BaseLanguageModel, chain_type: str = 'stuff', verbose: Optional[bool] = None, **kwargs: Any) → BaseCombineDocumentsChain

Load summarizing chain.

Parameters

• llm (BaseLanguageModel) – Language Model to use in the chain.

• chain_type (str) – Type of document combining chain to use. Should be one of “stuff”, “map_reduce”, and “refine”.

• verbose (Optional[bool]) – Whether chains should be run in verbose mode or not. Note that this applies to all chains that make up the final chain.

• kwargs (Any) –

Returns

A chain to use for summarizing.

Return type

BaseCombineDocumentsChain

Examples using load_summarize_chain

• Install necessary dependencies.

• Set env var OPENAI_API_KEY or load from a .env file

• To make the caching really obvious, lets use a slower model.

• see https://python.langchain.com/docs/use_cases/summarization for more details