[Feature Request]: Specify index_name while creating llama-index MilvusVectorStore instance

[legacy-dev6]

Feature Description

Im working on a python rag project. where im using milvus as vector database and using llama-index for setting up the project.

I have done setting up milvus database, wrote code for embedding the documents, in milvus collection i have created a schema and added 3 indexes. among those 2 are scalar indexes and one is a vector index.

def _create_indexes(self, collection: Collection):
        """Create indexes on the collection"""
        try:
            collection.drop_index()
        except Exception as e:
            logger.warning(f"No existing indexes to drop: {e}")

        collection.create_index(field_name="account_id", index_name="account_id_index")
        collection.create_index(field_name="file_id", index_name="file_id_index")

        index_params = {
            "index_type": "IVF_FLAT",
            "metric_type": "IP",
            "params": {"nlist": self.config.nlist},
        }
        collection.create_index(
            field_name="embedding",
            index_params=index_params,
            index_name="embedding_index",
        )
        collection.load()

Milvus is getting populated successfully, all 3 indexes are also getting created.
i got the following when i logged the index details

2024-12-17 17:24:17 - milvus - INFO - Index details - Field: account_id, index_name: account_id_index Type: {}
2024-12-17 17:24:17 - milvus - INFO - Index details - Field: file_id, index_name: file_id_index Type: {}
2024-12-17 17:24:17 - milvus - INFO - Index details - Field: embedding, index_name: embedding_index Type: {'index_type': 'IVF_FLAT', 'metric_type': 'IP', 'params': {'nlist': 4096}}

After this, for doing the similarity search i was trying to create an instance of MilvusVectorStore
in the following way.

self._store = MilvusVectorStore(
                uri=self.config.uri,
                collection_name=collection_name,
                dim=self.config.embedding_dim,
                similarity_metric="IP",
                embedding_field="embedding",
                index_name="embedding_index",
                search_config={
                    "metric_type": "IP",
                    "params": {"nprobe": self.config.nprobe},
                    "index_name": "embedding_index",
                },
                index_config={
                    "field_name": "embedding",
                    "index_type": "IVF_FLAT",
                    "metric_type": "IP",
                    "params": {"nlist": self.config.nlist},
                    "index_name": "embedding_index",
                },
            )

but, since i have multiple indexes, im getting the following error(that's what error says)

 pymilvus.decorators - ERROR - RPC error: [describe_index], <AmbiguousIndexName: (code=1, message=There are multiple indexes, please specify the index_name.)>, <Time:{'RPC start': '2024-12-17 17:24:17.551945', 'RPC error': '2024-12-17 17:24:17.584774'}>

i couldnt find anywhere how to i specify the index_name during this, (error is asking for me to do it)
It looks like there is no way or feature to specify index_name during the initialization of MilvusVectorStore instance.

Reason

No response

Value of Feature

No response