A Milvus API used for quickly setting up a Milvus vector database
Project description
milvus_api
milvus_api is a Python library that primarily provides functionalities to manage databases, including creating collections, inserting data, searching and updating index.
Installation
This project depends on several Python libraries. Use the following command to install the necessary libraries:
pip install pymilvus==2.4.0 milvus-model==0.2.0 pydantic==2.7.0 tqdm==4.66.2 FlagEmbedding==1.2.9 torch==2.2.2 numpy==1.24.4
Usage Examples
Creating a Database Collection
Here's how to create a new database collection using milvus_api:
from milvus_api.db_model.milvus_db import MilvusDB
from pymilvus import FiledSchema, DataType
host = 'localhost'
port = '19530'
db = MilvusDB(host, port)
fields = [
FieldSchema(name="id", dtype=DataType.INT64, auto_id=True, is_primary=True),
FieldSchema(name="embeddings", dtype=DataType.FLOAT_VECTOR, dim=1024)
]
db.create_collection("my_collection", 1000, fields, "FLAT", "COSINE")
Data Encoding Using the Model
Here's how to perform query encoding using the embedding model in milvus_api:
from milvus_api.embed_model.bgem3 import PyMilvusBGEM3
query = ["Are you afraid of the earthquake"]
model_name = 'bgem3_model'
# Initialize the model
bgem3 = PyMilvusBGEM3(model_name)
results = bgem3.encode(query)
Release Note
- 0.2.1:(Feat): support IVF_PQ indexing algorithm for
switch_index. - 0.2.0:(Feat): add the
switch_indexoperation toMilvusDBobject.
from milvus_api.db_model.milvus_db import MilvusDB
db = MilvusDB(host, port)
# Assume you already have a collection with index.
db.switch_index("your_collection_name", "drop_index_name", "new_index_type", "field_name", metric_type")
- 0.1.4:(BugFix): Fix the logic error when do
searchoperation. - 0.1.3:(BugFix): Fix the error caused by the non-specific
fieldargument during creating collection. - 0.1.2:(BugFix): Cancel partial information of
infofunction. - 0.1.1: Modify this project structure to ensure that users can import 'milvus_api' normally.
Contributions
Thanks to all developers who contributed to this project. If you would like to contribute code, please follow the existing code style and submit a pull request.
Copyright and License
This project is licensed under the Apache License 2.0.
Other Information
This README.md file is now complete, including an introduction to the project, installation instructions, usage examples, contribution guidelines, and copyright and licensing information. You can save this content as the README.md file in the root directory of your project. If you need further modifications or wish to add additional information, feel free to let me know!
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