Create Store

The CreateStore request creates a new AI store with specified AI models.

• Input: Store name, query model, index model, optional predicates, and configuration flags.

• Behavior: Creates a new AI store that automatically generates embeddings using the specified models.

• Response: Confirmation of store creation.

Click to expand source code

import { createAiClient } from "ahnlich-client-node";
import { CreateStore } from "ahnlich-client-node/grpc/ai/query_pb";
import { AIModel } from "ahnlich-client-node/grpc/ai/models_pb";

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

  await client.createStore(
    new CreateStore({
      store: "ai_store",
      queryModel: AIModel.ALL_MINI_LM_L6_V2,
      indexModel: AIModel.ALL_MINI_LM_L6_V2,
      predicates: ["brand", "category"],
      errorIfExists: true,
      storeOriginal: true,
    })
  );

  console.log("AI store created successfully");
}

createStore();

Parameters

Parameter	Type	Required	Description
store	string	Yes	The name for the new AI store
queryModel	AIModel	Yes	AI model for embedding queries
indexModel	AIModel	Yes	AI model for embedding stored data
predicates	string[]	No	List of predicate keys to index
errorIfExists	boolean	No	If true, throws error if store exists
storeOriginal	boolean	No	If true, stores original input alongside embeddings

Available AI Models

Model	Type	Description
AIModel.ALL_MINI_LM_L6_V2	Text	Sentence transformer for text embeddings
AIModel.RESNET50	Image	Image classification and embeddings
AIModel.CLIP_VIT_B32	Multimodal	Text and image embeddings
AIModel.BUFFALO_L	Face	Face detection and recognition
AIModel.SFACE_YUNET	Face	Face detection with YuNet

Example with Image Model

Click to expand source code

import { createAiClient } from "ahnlich-client-node";
import { CreateStore } from "ahnlich-client-node/grpc/ai/query_pb";
import { AIModel } from "ahnlich-client-node/grpc/ai/models_pb";

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

  await client.createStore(
    new CreateStore({
      store: "image_store",
      queryModel: AIModel.RESNET50,
      indexModel: AIModel.RESNET50,
      predicates: ["filename", "category"],
      errorIfExists: true,
      storeOriginal: true,
    })
  );

  console.log("Image store created successfully");
}

createImageStore();

Notes

• The query and index models typically should be the same for consistent similarity
• storeOriginal: true is useful for retrieving the original text/image in results
• See Type Meanings for more details on AI models