langchain.retrievers.document_compressors.chain_extract.LLMChainExtractor¶
class langchain.retrievers.document_compressors.chain_extract.LLMChainExtractor[source]¶
Bases: BaseDocumentCompressor
Document compressor that uses an LLM chain to extract
the relevant parts of documents.
Create a new model by parsing and validating input data from keyword arguments.
Raises ValidationError if the input data cannot be parsed to form a valid model.
param get_input: Callable[[str, langchain.schema.document.Document], dict] = <function default_get_input>¶
Callable for constructing the chain input from the query and a Document.
param llm_chain: langchain.chains.llm.LLMChain [Required]¶
LLM wrapper to use for compressing documents.
async acompress_documents(documents: Sequence[Document], query: str, callbacks: Optional[Union[List[BaseCallbackHandler], BaseCallbackManager]] = None) → Sequence[Document][source]¶
Compress page content of raw documents asynchronously.
compress_documents(documents: Sequence[Document], query: str, callbacks: Optional[Union[List[BaseCallbackHandler], BaseCallbackManager]] = None) → Sequence[Document][source]¶
Compress page content of raw documents.
classmethod construct(_fields_set: Optional[SetStr] = None, **values: Any) → Model¶
Creates a new model setting __dict__ and __fields_set__ from trusted or pre-validated data.
Default values are respected, but no other validation is performed.
Behaves as if Config.extra = ‘allow’ was set since it adds all passed values
copy(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, update: Optional[DictStrAny] = None, deep: bool = False) → Model¶