Search a Qdrant vector database collection using natural language. Generates an embedding from the query and returns the most similar document chunks.
Optional API key for authentication (enabled via application.yaml)
Natural language search query
Qdrant collection name
Vault secret name for embedding provider (optional, uses server default if omitted)
Vault secret name for Qdrant connection
Number of results to return