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Agents for Amazon Bedrock Update: This release adds support for using MongoDB Atlas as a vector store when creating a knowledge base.
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‎.changes/next-release/feature-AgentsforAmazonBedrock-b9bf6e7.json

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{
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"type": "feature",
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"category": "Agents for Amazon Bedrock",
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"contributor": "",
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"description": "This release adds support for using MongoDB Atlas as a vector store when creating a knowledge base."
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}

‎services/bedrockagent/src/main/resources/codegen-resources/service-2.json

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},
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"dataDeletionPolicy":{
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"shape":"DataDeletionPolicy",
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"documentation":"<p>The deletion policy for the requested data source</p>"
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"documentation":"<p>The data deletion policy assigned to the data source.</p>"
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},
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"dataSourceConfiguration":{
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"shape":"DataSourceConfiguration",
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},
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"dataDeletionPolicy":{
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"shape":"DataDeletionPolicy",
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"documentation":"<p>The deletion policy for the data source.</p>"
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"documentation":"<p>The data deletion policy for a data source.</p>"
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},
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"dataSourceConfiguration":{
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"shape":"DataSourceConfiguration",
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},
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"failureReasons":{
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"shape":"FailureReasons",
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"documentation":"<p>The details of the failure reasons related to the data source.</p>"
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"documentation":"<p>The detailed reasons on the failure to delete a data source.</p>"
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},
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"knowledgeBaseId":{
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"shape":"Id",
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"OPENSEARCH_SERVERLESS",
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"PINECONE",
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"REDIS_ENTERPRISE_CLOUD",
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"RDS"
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"RDS",
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"MONGO_DB_ATLAS"
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]
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},
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"KnowledgeBaseSummaries":{
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"min":1,
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"pattern":"^arn:aws(-[^:]+)?:bedrock:[a-z0-9-]{1,20}:(([0-9]{12}:custom-model/[a-z0-9-]{1,63}[.]{1}[a-z0-9-]{1,63}(([:][a-z0-9-]{1,63}){0,2})?/[a-z0-9]{12})|(:foundation-model/([a-z0-9-]{1,63}[.]{1}[a-z0-9-]{1,63}([.]?[a-z0-9-]{1,63})([:][a-z0-9-]{1,63}){0,2})))|(([a-z0-9-]{1,63}[.]{1}[a-z0-9-]{1,63}([.]?[a-z0-9-]{1,63})([:][a-z0-9-]{1,63}){0,2}))|(([0-9a-zA-Z][_-]?)+)$"
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},
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"MongoDbAtlasCollectionName":{
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"type":"string",
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"max":63,
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"min":0,
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"pattern":"^.*$"
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},
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"MongoDbAtlasConfiguration":{
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"type":"structure",
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"required":[
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"collectionName",
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"credentialsSecretArn",
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"databaseName",
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"endpoint",
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"fieldMapping",
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"vectorIndexName"
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],
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"members":{
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"collectionName":{
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"shape":"MongoDbAtlasCollectionName",
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"documentation":"<p>The collection name of the knowledge base in MongoDB Atlas.</p>"
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},
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"credentialsSecretArn":{
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"shape":"SecretArn",
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"documentation":"<p>The Amazon Resource Name (ARN) of the secret that you created in Secrets Manager that contains user credentials for your MongoDB Atlas cluster.</p>"
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},
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"databaseName":{
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"shape":"MongoDbAtlasDatabaseName",
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"documentation":"<p>The database name in your MongoDB Atlas cluster for your knowledge base.</p>"
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},
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"endpoint":{
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"shape":"MongoDbAtlasEndpoint",
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"documentation":"<p>The endpoint URL of your MongoDB Atlas cluster for your knowledge base.</p>"
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},
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"endpointServiceName":{
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"shape":"MongoDbAtlasEndpointServiceName",
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"documentation":"<p>The name of the VPC endpoint service in your account that is connected to your MongoDB Atlas cluster.</p>"
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},
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"fieldMapping":{
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"shape":"MongoDbAtlasFieldMapping",
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"documentation":"<p>Contains the names of the fields to which to map information about the vector store.</p>"
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},
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"vectorIndexName":{
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"shape":"MongoDbAtlasIndexName",
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"documentation":"<p>The name of the MongoDB Atlas vector search index.</p>"
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}
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},
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"documentation":"<p>Contains details about the storage configuration of the knowledge base in MongoDB Atlas. </p>"
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},
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"MongoDbAtlasDatabaseName":{
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"type":"string",
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"max":63,
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"min":0,
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"pattern":"^.*$"
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},
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"MongoDbAtlasEndpoint":{
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"type":"string",
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"max":2048,
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"min":0,
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"pattern":"^.*$"
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},
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"MongoDbAtlasEndpointServiceName":{
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"type":"string",
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"max":255,
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"min":1,
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"pattern":"^(?:arn:aws(?:-us-gov|-cn|-iso|-iso-[a-z])*:.+:.*:\\d+:.+/.+$|[a-zA-Z0-9*]+[a-zA-Z0-9._-]*)$"
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},
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"MongoDbAtlasFieldMapping":{
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"type":"structure",
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"required":[
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"metadataField",
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"textField",
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"vectorField"
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],
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"members":{
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"metadataField":{
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"shape":"FieldName",
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"documentation":"<p>The name of the field in which Amazon Bedrock stores metadata about the vector store.</p>"
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},
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"textField":{
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"shape":"FieldName",
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"documentation":"<p>The 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.</p>"
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},
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"vectorField":{
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"shape":"FieldName",
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"documentation":"<p>The name of the field in which Amazon Bedrock stores the vector embeddings for your data sources.</p>"
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}
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},
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"documentation":"<p>Contains the names of the fields to which to map information about the vector store.</p>"
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},
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"MongoDbAtlasIndexName":{
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"type":"string",
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"max":2048,
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"min":0,
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"pattern":"^.*$"
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},
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"Name":{
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"type":"string",
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"pattern":"^([0-9a-zA-Z][_-]?){1,100}$"
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},
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"bucketOwnerAccountId":{
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"shape":"BucketOwnerAccountId",
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"documentation":"<p>The account ID for the owner of the S3 bucket.</p>"
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"documentation":"<p>The bucket account owner ID for the S3 bucket.</p>"
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},
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"inclusionPrefixes":{
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"shape":"S3Prefixes",
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"type":"structure",
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"required":["type"],
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"members":{
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"mongoDbAtlasConfiguration":{
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"shape":"MongoDbAtlasConfiguration",
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"documentation":"<p>Contains the storage configuration of the knowledge base in MongoDB Atlas.</p>"
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},
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"opensearchServerlessConfiguration":{
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"shape":"OpenSearchServerlessConfiguration",
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"documentation":"<p>Contains the storage configuration of the knowledge base in Amazon OpenSearch Service.</p>"
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"members":{
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"dataDeletionPolicy":{
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"shape":"DataDeletionPolicy",
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"documentation":"<p>The data deletion policy of the updated data source.</p>"
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"documentation":"<p>The data deletion policy assigned to the data source.</p>"
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},
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"dataSourceConfiguration":{
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"shape":"DataSourceConfiguration",

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