Deploying Qdrant and Ingesting Embeddings

Scenario

You need to provide a vector search engine for the data science team.

Tasks

1. Install Qdrant via Helm.
2. Port-forward the Qdrant API.
3. Use a Python script to embed a dataset and insert it into Qdrant.
4. Run a query and retrieve the top-k nearest neighbors.