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MergeFaiss.py
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MergeFaiss.py
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import sys
import os
import argparse
import json
from langchain.embeddings.base import Embeddings
from langchain.embeddings import FakeEmbeddings
from langchain.vectorstores import FAISS
def main():
parser = argparse.ArgumentParser()
parser.add_argument('vec_stores', help='file with vector stores to merge')
parser.add_argument('out_model', help='model name to output')
args = parser.parse_args()
with open(args.vec_stores, "r", encoding="utf-8") as f:
for i, line in enumerate(f):
nameprefix=line.strip()
if i == 0:
db0 = FAISS.load_local(nameprefix, FakeEmbeddings(size=100))
with open(f"{nameprefix}.intentmap.json", "r", encoding="utf-8") as intentf:
int0dict = json.load(intentf)
else:
db1 = FAISS.load_local(nameprefix, FakeEmbeddings(size=100))
db0.merge_from(db1)
with open(f"{nameprefix}.intentmap.json", "r", encoding="utf-8") as intentf:
int1dict = json.load(intentf)
maxidx=max(int0dict.values())
maxidx = maxidx + 1
for j, item in enumerate(int1dict):
if item not in int0dict:
int0dict[item]=maxidx+j
db0.save_local(args.out_model)
with open(f"{args.out_model}.intentmap.json", "w", encoding="utf-8") as intentf:
json.dump(int0dict, intentf, ensure_ascii=False, indent=2)
if __name__ == "__main__":
main()