Python: Qdrant memory store connector should also support using the Qdrant cloud (taking the API Key to initialize the connection)

[anirudhgarg]

Currently the Qdrant memory store connector only supports local installation and thus asking for the port and the endpoint. It should also support the Qdrant cloud service taking the API Key and the endpoint - see here:
https://pypi.org/project/qdrant-client/#:~:text=To%20connect%20to%20Qdrant%20server%2C%20simply%20specify%20host,with%20docker%3A%20docker%20run%20-p%206333%20%3A6333%20qdrant%2Fqdrant%3Alatest

[microsoftShannon]

Thanks anirudhgarg, we'll look into adding this into the backlog, but of course we are open to contributions from the community as well.

[anirudhgarg]

Thanks for considering it. The reason for supporting this is then this allows folks to deploy their application using Semantic Kernel which inturn uses Qdrant cloud - as a service.

[x3haloed]

Can't this be achieved in the current design by passing an instance of HttpClient with your own handler in:

var httpClient = new HttpClient();
// add request-modification logic here to add the api key to request headers on this HttpClient instance.

var qdrantMemoryStore = new QdrantMemoryStore(
    new QdrantVectorDbClient(endpoint, vectorSize, httpClient: httpClient));

[evchaki]

@tawalke can you take a look at this issue

[glahaye]

@adrianwyatt This is supported now, isn't it?

[breakstring]

Looks qdrant memory store just use the qdrant python sdk, but need more parameters in init function of QdrantMemoryStore.

So, I just set the _qdrantclient field with a qdrant_client object to set the api-key for now.