File size: 1,337 Bytes
5e028bf | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 | import os
from lightmem.memory.lightmem import LightMemory
def load_lightmem(collection_name):
config = {
"memory_manager": {
"model_name": "openai",
"configs": {
"model": "gpt-4o-mini",
"api_key": "",
"max_tokens": 16000,
"openai_base_url": ""
}
},
"retrieve_strategy": "embedding",
"embedding_retriever": {
"model_name": "qdrant",
"configs": {
"collection_name": collection_name,
"embedding_model_dims": 384,
"path": f"/{collection_name}",
}
},
"update": "offline",
}
lightmem = LightMemory.from_config(config)
return lightmem
base_dir = ""
for collection_name in os.listdir(base_dir):
collection_path = os.path.join(base_dir, collection_name)
if not os.path.isdir(collection_path):
continue
print(f"Processing collection: {collection_name}")
try:
lightmem = load_lightmem(collection_name)
lightmem.construct_update_queue_all_entries()
lightmem.offline_update_all_entries(score_threshold=0.8)
print(f"Finished updating {collection_name}")
except Exception as e:
print(f"Error processing {collection_name}: {e}")
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