com.amazonaws.services.bedrockagent.model.VectorKnowledgeBaseConfiguration Maven / Gradle / Ivy
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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);
}
}