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27 lines
958 B
Python
27 lines
958 B
Python
from application.vectorstore.base import BaseVectorStore
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from langchain.vectorstores import FAISS
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from application.core.settings import settings
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class FaissStore(BaseVectorStore):
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def __init__(self, path, embeddings_key, docs_init=None):
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super().__init__()
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self.path = path
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if docs_init:
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self.docsearch = FAISS.from_documents(
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docs_init, self._get_embeddings(settings.EMBEDDINGS_NAME, embeddings_key)
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)
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else:
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self.docsearch = FAISS.load_local(
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self.path, self._get_embeddings(settings.EMBEDDINGS_NAME, settings.EMBEDDINGS_KEY)
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)
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def search(self, *args, **kwargs):
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return self.docsearch.similarity_search(*args, **kwargs)
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def add_texts(self, *args, **kwargs):
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return self.docsearch.add_texts(*args, **kwargs)
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def save_local(self, *args, **kwargs):
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return self.docsearch.save_local(*args, **kwargs)
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