43 lines
1.4 KiB
Python
43 lines
1.4 KiB
Python
from zeroentropy import AsyncZeroEntropy
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from haiku.rag.reranking.base import RerankerBase
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from haiku.rag.store.models.chunk import Chunk
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class ZeroEntropyReranker(RerankerBase): # pragma: no cover
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"""Zero Entropy reranker implementation using the zerank-1 model."""
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def __init__(self, model: str = "zerank-1"):
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"""Initialize the Zero Entropy reranker.
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Args:
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model: The Zero Entropy model to use (default: "zerank-1")
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"""
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self._model = model
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# Zero Entropy SDK reads ZEROENTROPY_API_KEY from environment by default
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self._client = AsyncZeroEntropy()
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async def _rerank(
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self, query: str, chunks: list[Chunk], top_n: int = 10
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) -> list[tuple[Chunk, float]]:
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# Prepare documents for Zero Entropy API
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documents = [chunk.content for chunk in chunks]
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# Call Zero Entropy reranking API
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model_name = self._model or "zerank-1"
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response = await self._client.models.rerank(
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model=model_name,
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query=query,
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documents=documents,
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)
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# Zero Entropy returns results sorted by relevance with scores
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reranked_results = []
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for result in response.results[:top_n]:
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chunk_index = result.index
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score = result.relevance_score
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if chunk_index < len(chunks):
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reranked_results.append((chunks[chunk_index], score))
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return reranked_results
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