Hello, I am integrating Milvus Database. with using zillz cloud for storing collections. How can I create index from persisted database. My current approach is
milvus_uri = "Public End Point for Project"
access_token = "Access Token for Database"
vector_store = MilvusVectorStore(uri = milvus_uri,
token = access_token ,
overwrite=False ,
enable_sparse= True ,
sparse_embedding_function=EmbeddingFunction(),
collection_name = "llama" ,
hybrid_ranker="RRFRanker",
hybrid_ranker_params={"k": 60} )
storage_context = StorageContext.from_defaults(vector_store=vector_store)
documents = SimpleDirectoryReader("more_data").load_data()
index = VectorStoreIndex.from_documents(
documents , storage_context=storage_context , embed_model = embed_model
)As you can see I am reading documents for creating index. which should not be the case If I have data on milvus cloud. index should be built directly from persisted database.
Also How to know which type embeddings are used to query. (Sparse Embeddings OR Dense ) And how can change it? In picture attached you can see the data is been persisted on milvus cloud.
