基础类：BaseRetriever
Pathway 检索器。
Pathway 是一个开放的数据处理框架。它允许您轻松开发处理实时数据源和不断变化的数据的数据转换管道。
这是为 PathwayVectorServer 实现 Retriever API 的客户端。
源代码位于 llama-index-integrations/retrievers/llama-index-retrievers-pathway/llama_index/retrievers/pathway/base.py
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153 | class PathwayRetriever(BaseRetriever):
"""
Pathway retriever.
Pathway is an open data processing framework.
It allows you to easily develop data transformation pipelines
that work with live data sources and changing data.
This is the client that implements Retriever API for PathwayVectorServer.
"""
def __init__(
self,
host: Optional[str] = None,
port: Optional[int] = None,
url: Optional[str] = None,
similarity_top_k: int = DEFAULT_SIMILARITY_TOP_K,
callback_manager: Optional[CallbackManager] = None,
) -> None:
"""Initializing the Pathway retriever client."""
self.client = _VectorStoreClient(host, port, url)
self.similarity_top_k = similarity_top_k
super().__init__(callback_manager)
def _retrieve(self, query_bundle: QueryBundle) -> List[NodeWithScore]:
"""Retrieve."""
rets = self.client(query=query_bundle.query_str, k=self.similarity_top_k)
items = [
NodeWithScore(
node=TextNode(text=ret["text"], extra_info=ret["metadata"]),
# Transform cosine distance into a similairty score
# (higher is more similar)
score=1 - ret["dist"],
)
for ret in rets
]
return sorted(items, key=lambda x: x.score or 0.0, reverse=True)
|
