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Create Non-Linear Algorithm Index

Creates a non-linear algorithm index on a vector store within the AI service to optimize similarity search performance. These indexes accelerate nearest-neighbor and semantic searches over large embedding datasets, making retrieval faster and more efficient.

Source Code Example​

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use ahnlich_client_rs::ai::AiClient;
use ahnlich_types::ai::query::CreateNonLinearAlgorithmIndex;
use ahnlich_types::algorithm::nonlinear::NonLinearAlgorithm;
use tokio;


#[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 params = CreateNonLinearAlgorithmIndex {
        store: "MyStore".to_string(),
        non_linear_indices: vec![NonLinearAlgorithm::KdTree as i32],
    };


    let result = client.create_non_linear_algorithm_index(params, None).await?;
    println!("Created non-linear indices: {:?}", result);


    Ok(())
}

Parameters​

  • params: CreateNonLinearAlgorithmIndex — Specifies the target store and algorithm parameters for building the non-linear index.

Returns​

  • Ok(CreateIndex) — Confirmation that the non-linear algorithm index was successfully created, including index details.

  • Err(AhnlichError) — Returned if index creation fails due to invalid parameters, store issues, or server errors.

Behavior (explains the code, brief)​

  • Wraps the CreateNonLinearAlgorithmIndex input in a tonic::Request.

  • Attaches tracing metadata if provided.

  • Calls the AI service’s create_non_linear_algorithm_index RPC endpoint.

  • Awaits the response and extracts the result.

  • Returns a CreateIndex object with details of the created index.