Create Store

Creates a new vector store within the AI service. A store acts as a container for embeddings and metadata, enabling structured organization of data for similarity search and retrieval tasks. This is typically the first step before inserting embeddings or performing queries against a specific dataset.

Source Code Example

Click to expand

use ahnlich_types::ai::query::CreateStore;
use ahnlich_client_rs::ai::AiClient;
use ahnlich_types::ai::models::AiModel;


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


    // Create a new AI store
    let create_params = CreateStore {
        store: "Deven Kicks".to_string(),
        index_model: AiModel::AllMiniLmL6V2 as i32,
        query_model: AiModel::AllMiniLmL6V2 as i32,
        predicates: vec![],
        non_linear_indices: vec![],
        error_if_exists: true,
        store_original: true,
    };

    let result = client.create_store(create_params, None).await?;
    println!("Store created: {:?}", result);


    Ok(())
}

Parameters

• params: CreateStore — Input parameters defining the new store (e.g., store name, configuration options).

• tracing_id: Option<String> — Optional trace parent for distributed tracing, included in the request if provided.

Returns

• Ok(Unit) — A confirmation response indicating that the store was successfully created.

• Err(AhnlichError) — If creation fails due to invalid parameters, a name conflict, or service errors.

Behavior (explains the code, brief)

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

• Attaches the tracing ID if provided for observability.

• Invokes the create_store RPC on the AI client.

• Awaits the server’s response and extracts the result.

• Returns Unit to signal successful completion.