com.pulumi.aws.bedrock.kotlin.inputs.AgentKnowledgeBaseStorageConfigurationRedisEnterpriseCloudConfigurationFieldMappingArgs.kt Maven / Gradle / Ivy
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Build cloud applications and infrastructure by combining the safety and reliability of infrastructure as code with the power of the Kotlin programming language.
@file:Suppress("NAME_SHADOWING", "DEPRECATION")
package com.pulumi.aws.bedrock.kotlin.inputs
import com.pulumi.aws.bedrock.inputs.AgentKnowledgeBaseStorageConfigurationRedisEnterpriseCloudConfigurationFieldMappingArgs.builder
import com.pulumi.core.Output
import com.pulumi.core.Output.of
import com.pulumi.kotlin.ConvertibleToJava
import com.pulumi.kotlin.PulumiTagMarker
import kotlin.String
import kotlin.Suppress
import kotlin.jvm.JvmName
/**
*
* @property metadataField Name of the field in which Amazon Bedrock stores metadata about the vector store.
* @property textField Name of the field in which Amazon Bedrock stores the raw text from your data. The text is split according to the chunking strategy you choose.
* @property vectorField Name of the field in which Amazon Bedrock stores the vector embeddings for your data sources.
*/
public data class
AgentKnowledgeBaseStorageConfigurationRedisEnterpriseCloudConfigurationFieldMappingArgs(
public val metadataField: Output? = null,
public val textField: Output? = null,
public val vectorField: Output? = null,
) :
ConvertibleToJava {
override fun toJava(): com.pulumi.aws.bedrock.inputs.AgentKnowledgeBaseStorageConfigurationRedisEnterpriseCloudConfigurationFieldMappingArgs =
com.pulumi.aws.bedrock.inputs.AgentKnowledgeBaseStorageConfigurationRedisEnterpriseCloudConfigurationFieldMappingArgs.builder()
.metadataField(metadataField?.applyValue({ args0 -> args0 }))
.textField(textField?.applyValue({ args0 -> args0 }))
.vectorField(vectorField?.applyValue({ args0 -> args0 })).build()
}
/**
* Builder for [AgentKnowledgeBaseStorageConfigurationRedisEnterpriseCloudConfigurationFieldMappingArgs].
*/
@PulumiTagMarker
public class
AgentKnowledgeBaseStorageConfigurationRedisEnterpriseCloudConfigurationFieldMappingArgsBuilder
internal constructor() {
private var metadataField: Output? = null
private var textField: Output? = null
private var vectorField: Output? = null
/**
* @param value Name of the field in which Amazon Bedrock stores metadata about the vector store.
*/
@JvmName("tlivunfmcbkhorxm")
public suspend fun metadataField(`value`: Output) {
this.metadataField = value
}
/**
* @param value Name of the field in which Amazon Bedrock stores the raw text from your data. The text is split according to the chunking strategy you choose.
*/
@JvmName("hhardvodybmturxp")
public suspend fun textField(`value`: Output) {
this.textField = value
}
/**
* @param value Name of the field in which Amazon Bedrock stores the vector embeddings for your data sources.
*/
@JvmName("kqtegspmtuweierw")
public suspend fun vectorField(`value`: Output) {
this.vectorField = value
}
/**
* @param value Name of the field in which Amazon Bedrock stores metadata about the vector store.
*/
@JvmName("nrxdgitcobtuqbms")
public suspend fun metadataField(`value`: String?) {
val toBeMapped = value
val mapped = toBeMapped?.let({ args0 -> of(args0) })
this.metadataField = mapped
}
/**
* @param value Name of the field in which Amazon Bedrock stores the raw text from your data. The text is split according to the chunking strategy you choose.
*/
@JvmName("dqlopsmbwngvjkgx")
public suspend fun textField(`value`: String?) {
val toBeMapped = value
val mapped = toBeMapped?.let({ args0 -> of(args0) })
this.textField = mapped
}
/**
* @param value Name of the field in which Amazon Bedrock stores the vector embeddings for your data sources.
*/
@JvmName("prvxyqusrlwhmljl")
public suspend fun vectorField(`value`: String?) {
val toBeMapped = value
val mapped = toBeMapped?.let({ args0 -> of(args0) })
this.vectorField = mapped
}
internal fun build(): AgentKnowledgeBaseStorageConfigurationRedisEnterpriseCloudConfigurationFieldMappingArgs =
AgentKnowledgeBaseStorageConfigurationRedisEnterpriseCloudConfigurationFieldMappingArgs(
metadataField = metadataField,
textField = textField,
vectorField = vectorField,
)
}
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