[Bug]: [new_indexes] The default value of index parameters are not showed in "collection.index().params" for new HNSW SQ/PQ/PRQ indexes if not specifying the index params

[binbinlv]

Is there an existing issue for this?

• I have searched the existing issues

Environment

- Milvus version: master-20241015-f3b6792a
- Deployment mode(standalone or cluster): both
- MQ type(rocksmq, pulsar or kafka):    all 
- SDK version(e.g. pymilvus v2.0.0rc2): 2.5.0rc97
- OS(Ubuntu or CentOS): 
- CPU/Memory: 
- GPU: 
- Others:

Current Behavior

The default value of index parameters is not shown in "collection.index().params" for new HNSW SQ/PQ/PRQ indexes

collection.index().params:
{'index_type': 'FAISS_HNSW_SQ', 'metric_type': 'IP', 'params': {}}

Expected Behavior

show the default value of index parameters in somewhere user could get it.

Steps To Reproduce

from pymilvus import CollectionSchema, FieldSchema
from pymilvus import Collection
from pymilvus import connections
from pymilvus import DataType
from pymilvus import Partition
from pymilvus import utility
import json


connections.connect()

dim = 128
int64_field = FieldSchema(name="int64", dtype=DataType.INT64, is_primary=True)
float_field = FieldSchema(name="float", dtype=DataType.FLOAT)
bool_field = FieldSchema(name="bool", dtype=DataType.BOOL)
string_field = FieldSchema(name="string", dtype=DataType.VARCHAR, max_length=65535)
json_field = FieldSchema(name="json_field", dtype=DataType.JSON)
float_vector = FieldSchema(name="float_vector", dtype=DataType.FLOAT_VECTOR, dim=dim)

schema = CollectionSchema(fields=[int64_field, float_field, bool_field, float_vector])

collection = Collection("test_search_collection_binbin_tmp_0", schema=schema)

metric = "IP"
import random
default_search_params = {"metric_type": metric, "params": {"nprobe": 10}}

nb=10000

vectors = [[random.random() for _ in range(dim)] for _ in range(nb)]
import numpy as np
res = collection.insert([[i for i in range(nb)], [np.float32(i) for i in range(nb)], [np.bool_(i) for i in range(nb)], vectors])
collection.flush()
print(collection.num_entities)
index = {"index_type": "FAISS_HNSW_SQ", "metric_type": metric, "params": {}}
print("creating index")
collection.create_index("float_vector", index, index_name="index_name_1")
print("created index")
params = collection.index().params
print(params)

Milvus Log

No response

Anything else?

No response

[alexanderguzhva]

/assign @alexanderguzhva

[yanliang567]

I think this is the current behavior for the other index types. need to further discussion about if we need a new design/