FlashrankRerank#
- class langchain_community.document_compressors.flashrank_rerank.FlashrankRerank[source]#
Bases:
BaseDocumentCompressorDocument compressor using Flashrank interface.
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 client: Ranker [Required]#
Flashrank client to use for compressing documents
- param model: str | None = None#
Model to use for reranking.
- param prefix_metadata: str = ''#
Prefix for flashrank_rerank metadata keys
- param score_threshold: float = 0.0#
Minimum relevance threshold to return.
- param top_n: int = 3#
Number of documents to return.
- async acompress_documents(documents: Sequence[Document], query: str, callbacks: List[BaseCallbackHandler] | BaseCallbackManager | None = None) Sequence[Document]#
Async compress retrieved documents given the query context.
- Parameters:
documents (Sequence[Document]) – The retrieved documents.
query (str) – The query context.
callbacks (List[BaseCallbackHandler] | BaseCallbackManager | None) – Optional callbacks to run during compression.
- Returns:
The compressed documents.
- Return type:
Sequence[Document]
- compress_documents(documents: Sequence[Document], query: str, callbacks: List[BaseCallbackHandler] | BaseCallbackManager | None = None) Sequence[Document][source]#
Compress retrieved documents given the query context.
- Parameters:
documents (Sequence[Document]) – The retrieved documents.
query (str) – The query context.
callbacks (List[BaseCallbackHandler] | BaseCallbackManager | None) – Optional callbacks to run during compression.
- Returns:
The compressed documents.
- Return type:
Sequence[Document]
Examples using FlashrankRerank