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Configuring your existing managed Qdrant

To use Superlinked with Qdrant, start a managed instance provided by Qdrant (a free-tier is available). For detailed steps on initializing a managed instance, refer to the Start a Managed Qdrant Instance section below. Once your Qdrant instance is up and running, ensure it is accessible from the server that will use it. Additionally, configure the necessary authentication settings as described below.

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Modifications in your configuration

To integrate Qdrant, you need to add the QdrantVectorDatabase class and include it in the executor. Here’s how you can do it: 
from superlinked import framework as sl

vector_database = sl.QdrantVectorDatabase(
    "<your_qdrant_url>", # (Mandatory) This is your qdrant URL generally with a port but without any extra fields
    "<your_api_key>", # (Mandatory) This is the api key to your qdrant cluster
    # The following params must be in a form of kwarg params. Here you can specify anything that the official python client enables. For more details visit:
    # https://python-client.qdrant.tech/qdrant_client.qdrant_client.
    default_query_limit=10, # This optional parameter specifies the maximum number of query results returned. If not set, it defaults to 10.
)
Once you have configured the vector database just simply pass it to the executor. 
...
executor = sl.RestExecutor(
    sources=[source],
    indices=[index],
    queries=[sl.RestQuery(sl.RestDescriptor("query"), query)],
    vector_database=vector_database,
)
...

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Start a Managed Qdrant Instance

1

Access Qdrant Cloud and navigate to cluster creation

Navigate to Qdrant and sign in.Click on “Overview” on the left side of the page to access cluster management.
2

Choose cluster configuration

You can create either free-tier or production-ready clusters:Free-tier specifications:
  • 0.5 vCPU
  • 1GB memory
  • 4GB disk space
  • Running on 1 node
You can also choose your preferred platform, location and whether high-availability (HA) is necessary.
You can customize these parameters with a paid plan for production workloads.
3

Create the cluster

After configuring your preferences, create the cluster.
Wait for the cluster to be fully provisioned and show as “Running” status.
4

Generate and secure API key

After the cluster is created, generate an API key and save it to a secure place.
You won’t be able to see the API key again after generation. This key is required for the QdrantVectorDatabase configuration.

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Example app with Qdrant

You can find an example that utilizes Qdrant here.