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/*
 * Copyright 2019-2024 Amazon.com, Inc. or its affiliates. All Rights Reserved.
 * 
 * Licensed under the Apache License, Version 2.0 (the "License"). You may not use this file except in compliance with
 * the License. A copy of the License is located at
 * 
 * http://aws.amazon.com/apache2.0
 * 
 * or in the "license" file accompanying this file. This file 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.amazonaws.services.bedrockagent.model;

import java.io.Serializable;
import javax.annotation.Generated;
import com.amazonaws.protocol.StructuredPojo;
import com.amazonaws.protocol.ProtocolMarshaller;

/**
 * 

* Contains details about the model used to create vector embeddings for the knowledge base. *

* * @see AWS API Documentation */ @Generated("com.amazonaws:aws-java-sdk-code-generator") public class VectorKnowledgeBaseConfiguration implements Serializable, Cloneable, StructuredPojo { /** *

* The Amazon Resource Name (ARN) of the model used to create vector embeddings for the knowledge base. *

*/ private String embeddingModelArn; /** *

* The embeddings model configuration details for the vector model used in Knowledge Base. *

*/ private EmbeddingModelConfiguration embeddingModelConfiguration; /** *

* The Amazon Resource Name (ARN) of the model used to create vector embeddings for the knowledge base. *

* * @param embeddingModelArn * The Amazon Resource Name (ARN) of the model used to create vector embeddings for the knowledge base. */ public void setEmbeddingModelArn(String embeddingModelArn) { this.embeddingModelArn = embeddingModelArn; } /** *

* The Amazon Resource Name (ARN) of the model used to create vector embeddings for the knowledge base. *

* * @return The Amazon Resource Name (ARN) of the model used to create vector embeddings for the knowledge base. */ public String getEmbeddingModelArn() { return this.embeddingModelArn; } /** *

* The Amazon Resource Name (ARN) of the model used to create vector embeddings for the knowledge base. *

* * @param embeddingModelArn * The Amazon Resource Name (ARN) of the model used to create vector embeddings for the knowledge base. * @return Returns a reference to this object so that method calls can be chained together. */ public VectorKnowledgeBaseConfiguration withEmbeddingModelArn(String embeddingModelArn) { setEmbeddingModelArn(embeddingModelArn); return this; } /** *

* The embeddings model configuration details for the vector model used in Knowledge Base. *

* * @param embeddingModelConfiguration * The embeddings model configuration details for the vector model used in Knowledge Base. */ public void setEmbeddingModelConfiguration(EmbeddingModelConfiguration embeddingModelConfiguration) { this.embeddingModelConfiguration = embeddingModelConfiguration; } /** *

* The embeddings model configuration details for the vector model used in Knowledge Base. *

* * @return The embeddings model configuration details for the vector model used in Knowledge Base. */ public EmbeddingModelConfiguration getEmbeddingModelConfiguration() { return this.embeddingModelConfiguration; } /** *

* The embeddings model configuration details for the vector model used in Knowledge Base. *

* * @param embeddingModelConfiguration * The embeddings model configuration details for the vector model used in Knowledge Base. * @return Returns a reference to this object so that method calls can be chained together. */ public VectorKnowledgeBaseConfiguration withEmbeddingModelConfiguration(EmbeddingModelConfiguration embeddingModelConfiguration) { setEmbeddingModelConfiguration(embeddingModelConfiguration); return this; } /** * Returns a string representation of this object. This is useful for testing and debugging. Sensitive data will be * redacted from this string using a placeholder value. * * @return A string representation of this object. * * @see java.lang.Object#toString() */ @Override public String toString() { StringBuilder sb = new StringBuilder(); sb.append("{"); if (getEmbeddingModelArn() != null) sb.append("EmbeddingModelArn: ").append(getEmbeddingModelArn()).append(","); if (getEmbeddingModelConfiguration() != null) sb.append("EmbeddingModelConfiguration: ").append(getEmbeddingModelConfiguration()); sb.append("}"); return sb.toString(); } @Override public boolean equals(Object obj) { if (this == obj) return true; if (obj == null) return false; if (obj instanceof VectorKnowledgeBaseConfiguration == false) return false; VectorKnowledgeBaseConfiguration other = (VectorKnowledgeBaseConfiguration) obj; if (other.getEmbeddingModelArn() == null ^ this.getEmbeddingModelArn() == null) return false; if (other.getEmbeddingModelArn() != null && other.getEmbeddingModelArn().equals(this.getEmbeddingModelArn()) == false) return false; if (other.getEmbeddingModelConfiguration() == null ^ this.getEmbeddingModelConfiguration() == null) return false; if (other.getEmbeddingModelConfiguration() != null && other.getEmbeddingModelConfiguration().equals(this.getEmbeddingModelConfiguration()) == false) return false; return true; } @Override public int hashCode() { final int prime = 31; int hashCode = 1; hashCode = prime * hashCode + ((getEmbeddingModelArn() == null) ? 0 : getEmbeddingModelArn().hashCode()); hashCode = prime * hashCode + ((getEmbeddingModelConfiguration() == null) ? 0 : getEmbeddingModelConfiguration().hashCode()); return hashCode; } @Override public VectorKnowledgeBaseConfiguration clone() { try { return (VectorKnowledgeBaseConfiguration) super.clone(); } catch (CloneNotSupportedException e) { throw new IllegalStateException("Got a CloneNotSupportedException from Object.clone() " + "even though we're Cloneable!", e); } } @com.amazonaws.annotation.SdkInternalApi @Override public void marshall(ProtocolMarshaller protocolMarshaller) { com.amazonaws.services.bedrockagent.model.transform.VectorKnowledgeBaseConfigurationMarshaller.getInstance().marshall(this, protocolMarshaller); } }




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