Get Store

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.

The GetStore request retrieves detailed information about a single AI store by its name.

• Input: Store name.

• Behavior: The server returns detailed information about the specified AI store.

• Response: AI store information including models, dimension, and indices.

Click to expand source code

TypeScript

import { createAiClient } from "ahnlich-client-node";
import { GetStore } from "ahnlich-client-node/grpc/ai/query_pb";

async function getStore() {
  const client = createAiClient("127.0.0.1:1370");

  const response = await client.getStore(
    new GetStore({ store: "ai_store", schema: "analytics" })
  );

  console.log(response.name);            // Store name
  console.log(response.queryModel);      // AI model used for querying
  console.log(response.indexModel);      // AI model used for indexing
  console.log(response.embeddingSize);   // Number of stored embeddings
  console.log(response.dimension);       // Vector dimension
  console.log(response.predicateIndices); // Indexed predicate keys
  console.log(response.dbInfo);          // Optional DB store info
}

getStore();

Parameters

Parameter	Type	Required	Description
store	string	Yes	The name of the AI store to retrieve

Response Fields

Field	Type	Description
name	string	The name of the store
queryModel	AIModel	AI model used for query embedding
indexModel	AIModel	AI model used for indexing
embeddingSize	number	Number of stored embeddings
dimension	number	Vector dimension
predicateIndices	string[]	List of indexed predicate keys
dbInfo	StoreInfo	Optional underlying DB store info