timothyafolami
34 lines
1.1 KiB
Python
34 lines
1.1 KiB
Python
from utils import create_vector_store, save_embedded_data, load_documents_from_directory, load_embedding_model
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import sys, os
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# Add the root directory to sys.path
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sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), '..')))
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from loggings.logging_config import logger
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# This module will load in the data, you only need to add the data path to it.
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data_path = './data'
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# loading the embeddings
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logger.info(f"Loading the embeddings")
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embeddings = load_embedding_model()
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logger.info(f"Embeddings loaded")
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def load_data(data_path: str):
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logger.info(f"Loading data from {data_path}")
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documents, docs_id, num_pages = load_documents_from_directory(data_path)
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logger.info(f"Data loaded")
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logger.info(f"Creating vector store")
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embed_db = create_vector_store(embeddings,documents, docs_id, num_pages)
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logger.info(f"Vector store created")
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logger.info(f"Saving the vector store")
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# saving the embedded data
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save_embedded_data(embed_db)
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logger.info(f"Vector store saved")
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print("Vector store created and saved")
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return embed_db
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if __name__ == "__main__":
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load_data(data_path) |