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from ragatouille import RAGPretrainedModel |
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from modules.vectorstore.base import VectorStoreBase |
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import os |
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class ColbertVectorStore(VectorStoreBase): |
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def __init__(self, config): |
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self.config = config |
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self._init_vector_db() |
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def _init_vector_db(self): |
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self.colbert = RAGPretrainedModel.from_pretrained( |
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"colbert-ir/colbertv2.0", |
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index_root=os.path.join( |
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self.config["vectorstore"]["db_path"], |
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"db_" + self.config["vectorstore"]["db_option"], |
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), |
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) |
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def create_database(self, documents, document_names, document_metadata): |
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index_path = self.colbert.index( |
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index_name="new_idx", |
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collection=documents, |
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document_ids=document_names, |
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document_metadatas=document_metadata, |
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) |
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def load_database(self): |
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path = os.path.join( |
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self.config["vectorstore"]["db_path"], |
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"db_" + self.config["vectorstore"]["db_option"], |
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) |
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self.vectorstore = RAGPretrainedModel.from_index( |
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f"{path}/colbert/indexes/new_idx" |
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) |
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return self.vectorstore |
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def as_retriever(self): |
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return self.vectorstore.as_retriever() |
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