Create Non-Linear Algorithm Index

Creates a non-linear algorithm index on a store to optimize vector similarity searches beyond basic linear methods. Non-linear indexes improve query performance and scalability when working with large vector datasets.

Source Code Example

Click to expand

use ahnlich_client_rs::error::AhnlichError;
use ahnlich_types::{
    db::query::CreateNonLinearAlgorithmIndex,
    algorithm::nonlinear::NonLinearAlgorithm,
    services::db_service::db_service_client::DbServiceClient,
};
use tonic::transport::Channel;


#[tokio::main]
async fn main() -> Result<(), AhnlichError> {
    // Connect to your DB server
    let client = DbServiceClient::<Channel>::connect("http://127.0.0.1:1369").await?;
  
    // Create a non-linear algorithm index on the "Main" store
    let params = CreateNonLinearAlgorithmIndex {
        store: "Main".to_string(),
        non_linear_indices: vec![NonLinearAlgorithm::KdTree as i32],
    };


    let response = client
        .clone()
        .create_non_linear_algorithm_index(params)
        .await?
        .into_inner();


    println!("Non-linear algorithm index created: {:?}", response);


    Ok(())
}

Parameters

• params: CreateNonLinearAlgorithmIndex — Defines the target store and configuration for the non-linear index.

• tracing_id: Option<String> — Optional trace context for observability.

Returns

• CreateIndex — Confirmation and details of the newly created index.

• AhnlichError — If the request fails due to invalid parameters or server errors.

Behavior

• Builds a request with the provided params.

• Attaches optional tracing metadata for distributed tracing.

• Sends the request to the DB service to create the index.