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2025-08-27 19:58:27 +08:00
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/*
* Copyright (c) 2023-2025, Agents-Flex (fuhai999@gmail.com).
* <p>
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
* <p>
* http://www.apache.org/licenses/LICENSE-2.0
* <p>
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package com.agentsflex.core.llm.embedding;
import com.agentsflex.core.document.Document;
import com.agentsflex.core.llm.exception.LlmException;
import com.agentsflex.core.store.VectorData;
public interface EmbeddingModel {
default VectorData embed(String text) {
return embed(Document.of(text), EmbeddingOptions.DEFAULT);
}
default VectorData embed(Document document) {
return embed(document, EmbeddingOptions.DEFAULT);
}
VectorData embed(Document document, EmbeddingOptions options);
default int dimensions() {
VectorData vectorData = embed(Document.of("agents-flex"));
if (vectorData == null) {
throw new LlmException("Embedding model does not contain vector data, maybe config is not correct.");
}
double[] vector = vectorData.getVector();
if (vector == null || vector.length == 0) {
throw new LlmException("Embedding model does not contain vector data, maybe config is not correct.");
}
return vector.length;
}
}