创建表&索引

app/tmp/db/create.py

+from typing import List
+
+from pymilvus import FieldSchema, DataType
+
+from app.services.milvus import MilvusClient
+
+
+def main():
+    host = "10.0.40.12"
+
+    fields: List[FieldSchema] = [
+        FieldSchema(name="image", dtype=DataType.VARCHAR, max_length=256, is_primary=True, auto_id=False),
+        FieldSchema(name="key", dtype=DataType.VARCHAR, max_length=256),
+        FieldSchema(name="vector", dtype=DataType.FLOAT_VECTOR, dim=512)  # CLIP ViT-B/32的特征维度为512
+    ]
+    MilvusClient(host=host).connect().create_collection("mpc", fields, "mpc 图片向量存储")
+
+    index_params = {
+        "index_type": "HNSW",
+        "metric_type": "IP",  # 内积相似度
+        "params": {"M": 40, "efConstruction": 600, "ef": 400}
+    }
+    MilvusClient(host=host).connect().create_index("mpc", "vector", index_params)
+
+if __name__ == "__main__":
+    main()