Drop Predicate Index

Removes a predicate index used by the AI service to optimize filtered embedding queries. This operation is useful when certain metadata-based filters are no longer needed for semantic search, or when the index must be rebuilt due to changes in input fields.

Source Code Example

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use ahnlich_client_rs::ai::AiClient;
use ahnlich_client_rs::error::AhnlichError;
use ahnlich_types::ai::query::DropPredIndex;
use ahnlich_types::ai::server::Del;


#[tokio::main]
async fn main() -> Result<(), AhnlichError> {
    // Connect to the AI service
    let ai_client = AiClient::new("http://127.0.0.1:1370".to_string())
        .await
        .expect("Failed to connect AI client");


    // Define which store and which predicate index to drop
    let params = DropPredIndex {
        store: "Deven Kicks".to_string(),
        predicates: vec!["Brand".to_string()],
        error_if_not_exists: true, // 👈 required field, prevents silent no-op
    };


    // Call the API
    let response: Del = ai_client.drop_pred_index(params, None).await?;


    println!(" Dropped predicate index result: {:?}", response);


    Ok(())
}

Parameters

• params: DropPredIndex — Specifies the store and the predicate index to remove.

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

Returns

• Ok(Del) — Confirmation that the predicate index was successfully removed.

• Err(AhnlichError) — Returned if the index does not exist, the store is unavailable, or the request fails.

Behavior (explains the code, brief)

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

• Attaches optional tracing metadata.

• Sends the request to the AI service.

• Awaits the response and extracts the result.

• Returns a Del object confirming the deletion.