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Drop Store

Deletes an entire vector store from the AI service, including all embeddings and their associated metadata. This is a destructive operation and should be used with caution. Dropping a store is useful when the store is no longer needed, when cleaning up unused resources, or when resetting a dataset for fresh ingestion.

Source Code Example​

Click to expand
use ahnlich_types::ai::query::DropStore;
use ahnlich_client_rs::ai::AiClient;


#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    let client = AiClient::new("http://127.0.0.1:1370".to_string()).await?;


    let drop_params = DropStore {
        store: "Deven Kicks".to_string(),
        error_if_not_exists: true,
    };


    let result = client.drop_store(drop_params, None).await?;


    println!("Deleted count: {}", result.deleted_count);


    Ok(())
}

Parameters​

  • params: DropStore — Specifies the store to remove.

  • tracing_id: Option<String> — Optional trace parent ID for observability and distributed tracing.

Returns​

  • Ok(Del) — Confirmation that the store and all its contents were successfully deleted.

  • Err(AhnlichError) — Returned if the store does not exist, is in use, or the deletion fails.

Behavior (explains the code, brief)​

  • Wraps the DropStore parameters in a tonic::Request.

  • Attaches optional tracing metadata.

  • Sends the request to the AI service’s RPC endpoint.

  • Awaits the server response and extracts the result.

  • Returns a Del object confirming the store’s removal.