I'm working on setting up indexing for my Milvus database. I'm not keen on using the default indexing it offers; instead, I'm looking to get the llama_index up and running.
I gave implementing llama_index a shot, but now I'm kinda second-guessing if I got it right.
If any of y'all out there know the ins and outs of this and can take a peek at my code, I'd really appreciate it.
Thanks a bunch! 🤠👩💻👨💻
from llama_index import VectorStoreIndex from llama_index.vector_stores import MilvusVectorStore # Setting up the Vector Store and creating the index vector_store = MilvusVectorStore( uri = self.milvus_host, token=self.milvus_token, collection_name=collection_name ) index = VectorStoreIndex.from_vector_store(vector_store=vector_store) # Creating index for the specified field in the collection collection = Collection(collection_name) collection.create_index( field_name=field_name, index_params=index, index_name=collection_name )