Drop Predicate Index

Schema

This request accepts an optional schema field. When it is omitted, the server uses the public schema. Set schema to target a store in another schema.

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

Click to expand

Rust

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(),
        schema: Some("analytics".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.