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init_database.py 1.18 KB
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from server.knowledge_base.migrate import create_tables, folder2db, recreate_all_vs, list_kbs_from_folder
from configs.model_config import NLTK_DATA_PATH
import nltk
nltk.data.path = [NLTK_DATA_PATH] + nltk.data.path
from startup import dump_server_info
if __name__ == "__main__":
import argparse
parser = argparse.ArgumentParser()
parser.formatter_class = argparse.RawTextHelpFormatter
parser.add_argument(
"--recreate-vs",
action="store_true",
help=('''
recreate all vector store.
use this option if you have copied document files to the content folder, but vector store has not been populated or DEFAUL_VS_TYPE/EMBEDDING_MODEL changed.
if your vector store is ready with the configs, just skip this option to fill info to database only.
'''
)
)
args = parser.parse_args()
dump_server_info()
create_tables()
print("database talbes created")
if args.recreate_vs:
print("recreating all vector stores")
recreate_all_vs()
else:
print("filling kb infos to database")
for kb in list_kbs_from_folder():
folder2db(kb, "fill_info_only")
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Langchain-Chatchat
Langchain-Chatchat
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