■ MilvusClient 클래스의 insert 메소드에서 collection_name/data 인자를 사용해 데이터를 삽입하는 방법을 보여준다.
▶ main.py
|
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 |
from pymilvus import MilvusClient from pymilvus import model milvusClient = MilvusClient("test.db") hasCollection = milvusClient.has_collection(collection_name = " temp") if milvusClient.has_collection(collection_name= "temp"): milvusClient.drop_collection(collection_name = "temp") milvusClient.create_collection( collection_name = "temp", dimension = 768 ) onnxEmbeddingFunction = model.DefaultEmbeddingFunction() stringList = [ "Artificial intelligence was founded as an academic discipline in 1956.", "Alan Turing was the first person to conduct substantial research in AI.", "Born in Maida Vale, London, Turing was raised in southern England." ] ndArrayList = onnxEmbeddingFunction.encode_documents(stringList) itemList = [ {"id" : i, "vector" : ndArrayList[i], "text" : stringList[i], "subject" : "history"} for i in range(len(ndArrayList)) ] omitZeroDict = milvusClient.insert(collection_name = "temp", data = itemList) print(omitZeroDict) """ {'insert_count': 3, 'ids': [0, 1, 2]} """ |
▶ requirements.txt
|
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 |
certifi==2024.8.30 charset-normalizer==3.3.2 coloredlogs==15.0.1 environs==9.5.0 filelock==3.16.1 flatbuffers==24.3.25 fsspec==2024.9.0 grpcio==1.66.2 huggingface-hub==0.25.1 humanfriendly==10.0 idna==3.10 marshmallow==3.22.0 milvus-lite==2.4.10 milvus-model==0.2.7 mpmath==1.3.0 numpy==2.1.2 onnxruntime==1.19.2 packaging==24.1 pandas==2.2.3 protobuf==5.28.2 pymilvus==2.4.7 python-dateutil==2.9.0.post0 python-dotenv==1.0.1 pytz==2024.2 PyYAML==6.0.2 regex==2024.9.11 requests==2.32.3 safetensors==0.4.5 scipy==1.14.1 six==1.16.0 sympy==1.13.3 tokenizers==0.20.0 tqdm==4.66.5 transformers==4.45.1 typing_extensions==4.12.2 tzdata==2024.2 ujson==5.10.0 urllib3==2.2.3 |
※ pip install pymilvus[model] 명령을 실행했다.