Hey there question, is there a way of using the serverless version of Zilliz as a vector store? As of now I've only found the following which alllows for a regular dedicated cluster, but in the serverless version I've got nothing but the uri and api-token from Zilliz, thanks in advance 😄



from llama_index.vector_stores import MilvusVectorStore

construct vector store

vector_store = MilvusVectorStore(
host='foo.vectordb.zillizcloud.com',
port=403,
user="db_admin",
password="foo",
use_secure=True,
overwrite='True'
)

Hello there, I am having issues when trying to connect to use the milvus vector store. I currently started milvus in my local env with the yaml provided via docker. An issue that I'm having comes as I attempt running a query as it prompts the next exception: ValueError: Milvus instance not initialized. Can anybody help with this?

Hello, I am currently going through this notebook: https://docs.llamaindex.ai/en/stable/examples/pipeline/query_pipeline_sql.html. Is there a way to store the SQL query inferred? As far as I see, after calling "response = qp.run(query=query") print(str(response))" even if I see it printed out, i do not find it stored.

Hey there, can anyone help me figure out why my query engine is bringing "None" as an answer? I am attempting to use an embedded weaviate vector store, I managed to get data into it, but not sure if I might be missing something