87 lines
2.8 KiB
Python
87 lines
2.8 KiB
Python
from typing import List
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from langchain.embeddings.base import Embeddings
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from langchain.schema import Document
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from langchain.vectorstores import Milvus
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from configs.model_config import SCORE_THRESHOLD, kbs_config
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from server.knowledge_base.kb_service.base import KBService, SupportedVSType
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from server.knowledge_base.utils import KnowledgeFile
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class MilvusKBService(KBService):
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milvus: Milvus
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@staticmethod
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def get_collection(milvus_name):
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from pymilvus import Collection
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return Collection(milvus_name)
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@staticmethod
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def search(milvus_name, content, limit=3):
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search_params = {
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"metric_type": "L2",
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"params": {"nprobe": 10},
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}
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c = MilvusKBService.get_collection(milvus_name)
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return c.search(content, "embeddings", search_params, limit=limit, output_fields=["content"])
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def do_create_kb(self):
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pass
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def vs_type(self) -> str:
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return SupportedVSType.MILVUS
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def _load_milvus(self, embeddings: Embeddings = None):
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if embeddings is None:
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embeddings = self._load_embeddings()
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self.milvus = Milvus(embedding_function=embeddings,
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collection_name=self.kb_name, connection_args=kbs_config.get("milvus"))
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def do_init(self):
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self._load_milvus()
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def do_drop_kb(self):
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self.milvus.col.drop()
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def do_search(self, query: str, top_k: int,score_threshold: float, embeddings: Embeddings):
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# todo: support score threshold
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self._load_milvus(embeddings=embeddings)
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return self.milvus.similarity_search_with_score(query, top_k)
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def add_doc(self, kb_file: KnowledgeFile):
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"""
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向知识库添加文件
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"""
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docs = kb_file.file2text()
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self.milvus.add_documents(docs)
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from server.db.repository.knowledge_file_repository import add_doc_to_db
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status = add_doc_to_db(kb_file)
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return status
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def do_add_doc(self, docs: List[Document], embeddings: Embeddings):
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pass
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def do_delete_doc(self, kb_file: KnowledgeFile):
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filepath = kb_file.filepath.replace('\\', '\\\\')
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delete_list = [item.get("pk") for item in
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self.milvus.col.query(expr=f'source == "{filepath}"', output_fields=["pk"])]
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self.milvus.col.delete(expr=f'pk in {delete_list}')
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def do_clear_vs(self):
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if self.milvus.col:
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self.milvus.col.drop()
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if __name__ == '__main__':
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# 测试建表使用
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from server.db.base import Base, engine
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Base.metadata.create_all(bind=engine)
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milvusService = MilvusKBService("test")
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milvusService.add_doc(KnowledgeFile("README.md", "test"))
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milvusService.delete_doc(KnowledgeFile("README.md", "test"))
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milvusService.do_drop_kb()
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print(milvusService.search_docs("测试"))
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