dify/api/core/rag/rerank/rerank_base.py
Jyong 9affc546c6
Feat/support multimodal embedding (#29115)
Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
2025-12-09 14:41:46 +08:00

28 lines
782 B
Python

from abc import ABC, abstractmethod
from core.rag.index_processor.constant.query_type import QueryType
from core.rag.models.document import Document
class BaseRerankRunner(ABC):
@abstractmethod
def run(
self,
query: str,
documents: list[Document],
score_threshold: float | None = None,
top_n: int | None = None,
user: str | None = None,
query_type: QueryType = QueryType.TEXT_QUERY,
) -> list[Document]:
"""
Run rerank model
:param query: search query
:param documents: documents for reranking
:param score_threshold: score threshold
:param top_n: top n
:param user: unique user id if needed
:return:
"""
raise NotImplementedError