haiku.rag/haiku_rag_slim/haiku/rag/reranking/__init__.py

59 lines
1.9 KiB
Python

import os
from haiku.rag.config import AppConfig, Config
from haiku.rag.reranking.base import RerankerBase
def get_reranker(config: AppConfig = Config) -> RerankerBase | None:
"""Build the configured reranker, or None if reranking is disabled or its
optional dependency is not installed."""
model = config.reranking.model
if model is None:
return None
try:
if model.provider == "mxbai":
from haiku.rag.reranking.mxbai import MxBAIReranker
os.environ["TOKENIZERS_PARALLELISM"] = "true"
return MxBAIReranker()
if model.provider == "cohere":
from haiku.rag.reranking.cohere import CohereReranker
return CohereReranker()
if model.provider == "vllm":
if not model.base_url:
raise ValueError("vLLM reranker requires base_url in reranking.model")
from haiku.rag.reranking.vllm import VLLMReranker
return VLLMReranker(model.name, model.base_url)
if model.provider == "zeroentropy":
from haiku.rag.reranking.zeroentropy import ZeroEntropyReranker
return ZeroEntropyReranker(model.name or "zerank-1")
if model.provider == "jina":
from haiku.rag.reranking.jina import JinaReranker
return JinaReranker(model.name or "jina-reranker-v3")
if model.provider == "jina-local":
from haiku.rag.reranking.jina_local import JinaLocalReranker
return JinaLocalReranker(model.name or "jinaai/jina-reranker-v3")
if model.provider == "cross-encoder":
if not model.name:
raise ValueError(
"cross-encoder reranker requires name in reranking.model"
)
from haiku.rag.reranking.cross_encoder import CrossEncoderReranker
return CrossEncoderReranker(model.name)
except ImportError: # pragma: no cover
return None
return None