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r/aws_bedrockagent_knowledge_base: Add storage_configuration.mongo_db_atlas_configuration argument.
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‎.changelog/37220.txt‎

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```release-note:enhancement
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resource/aws_bedrockagent_knowledge_base: Add `storage_configuration.mongo_db_atlas_configuration` argument
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```

‎internal/service/bedrockagent/knowledge_base.go‎

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@@ -251,11 +251,12 @@ func (r *knowledgeBaseResource) Schema(ctx context.Context, request resource.Sch
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},
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},
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Blocks: map[string]schema.Block{
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"opensearch_managed_cluster_configuration": schema.ListNestedBlock{
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CustomType: fwtypes.NewListNestedObjectTypeOf[openSearchManagedClusterConfigurationModel](ctx),
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"mongo_db_atlas_configuration": schema.ListNestedBlock{
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CustomType: fwtypes.NewListNestedObjectTypeOf[mongoDBAtlasConfigurationModel](ctx),
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Validators: []validator.List{
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listvalidator.SizeAtMost(1),
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listvalidator.ExactlyOneOf(
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path.MatchRelative().AtParent().AtName("mongo_db_atlas_configuration"),
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path.MatchRelative().AtParent().AtName("opensearch_managed_cluster_configuration"),
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path.MatchRelative().AtParent().AtName("opensearch_serverless_configuration"),
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path.MatchRelative().AtParent().AtName("pinecone_configuration"),
@@ -267,6 +268,97 @@ func (r *knowledgeBaseResource) Schema(ctx context.Context, request resource.Sch
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PlanModifiers: []planmodifier.List{
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listplanmodifier.RequiresReplace(),
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},
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NestedObject: schema.NestedBlockObject{
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Attributes: map[string]schema.Attribute{
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"collection_name": schema.StringAttribute{
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Required: true,
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PlanModifiers: []planmodifier.String{
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stringplanmodifier.RequiresReplace(),
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},
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},
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"credentials_secret_arn": schema.StringAttribute{
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CustomType: fwtypes.ARNType,
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Required: true,
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PlanModifiers: []planmodifier.String{
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stringplanmodifier.RequiresReplace(),
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},
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},
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"database_name": schema.StringAttribute{
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Required: true,
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PlanModifiers: []planmodifier.String{
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stringplanmodifier.RequiresReplace(),
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},
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},
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"endpoint": schema.StringAttribute{
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Required: true,
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PlanModifiers: []planmodifier.String{
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stringplanmodifier.RequiresReplace(),
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},
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},
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"endpoint_service_name": schema.StringAttribute{
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Optional: true,
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PlanModifiers: []planmodifier.String{
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stringplanmodifier.RequiresReplace(),
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},
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},
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"text_index_name": schema.StringAttribute{
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Optional: true,
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PlanModifiers: []planmodifier.String{
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stringplanmodifier.RequiresReplace(),
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},
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},
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"vector_index_name": schema.StringAttribute{
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Required: true,
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PlanModifiers: []planmodifier.String{
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stringplanmodifier.RequiresReplace(),
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},
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},
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},
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Blocks: map[string]schema.Block{
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"field_mapping": schema.ListNestedBlock{
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CustomType: fwtypes.NewListNestedObjectTypeOf[mongoDBAtlasFieldMappingModel](ctx),
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Validators: []validator.List{
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listvalidator.IsRequired(),
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listvalidator.SizeAtLeast(1),
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listvalidator.SizeAtMost(1),
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},
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PlanModifiers: []planmodifier.List{
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listplanmodifier.RequiresReplace(),
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},
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NestedObject: schema.NestedBlockObject{
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Attributes: map[string]schema.Attribute{
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"metadata_field": schema.StringAttribute{
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Required: true,
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PlanModifiers: []planmodifier.String{
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stringplanmodifier.RequiresReplace(),
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},
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},
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"text_field": schema.StringAttribute{
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Required: true,
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PlanModifiers: []planmodifier.String{
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stringplanmodifier.RequiresReplace(),
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},
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},
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"vector_field": schema.StringAttribute{
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Required: true,
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PlanModifiers: []planmodifier.String{
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stringplanmodifier.RequiresReplace(),
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},
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},
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},
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},
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},
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},
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},
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},
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"opensearch_managed_cluster_configuration": schema.ListNestedBlock{
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CustomType: fwtypes.NewListNestedObjectTypeOf[openSearchManagedClusterConfigurationModel](ctx),
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Validators: []validator.List{
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listvalidator.SizeAtMost(1),
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},
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PlanModifiers: []planmodifier.List{
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listplanmodifier.RequiresReplace(),
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},
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NestedObject: schema.NestedBlockObject{
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Attributes: map[string]schema.Attribute{
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"domain_arn": schema.StringAttribute{
@@ -1010,15 +1102,33 @@ type kendraKnowledgeBaseConfigurationModel struct {
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}
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type storageConfigurationModel struct {
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OpensearchManagedClusterConfiguration fwtypes.ListNestedObjectValueOf[openSearchManagedClusterConfigurationModel] `tfsdk:"opensearch_managed_cluster_configuration"`
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OpensearchServerlessConfiguration fwtypes.ListNestedObjectValueOf[openSearchServerlessConfigurationModel] `tfsdk:"opensearch_serverless_configuration"`
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MongoDBAtlasConfiguration fwtypes.ListNestedObjectValueOf[mongoDBAtlasConfigurationModel] `tfsdk:"mongo_db_atlas_configuration"`
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OpenSearchManagedClusterConfiguration fwtypes.ListNestedObjectValueOf[openSearchManagedClusterConfigurationModel] `tfsdk:"opensearch_managed_cluster_configuration"`
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OpenSearchServerlessConfiguration fwtypes.ListNestedObjectValueOf[openSearchServerlessConfigurationModel] `tfsdk:"opensearch_serverless_configuration"`
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PineconeConfiguration fwtypes.ListNestedObjectValueOf[pineconeConfigurationModel] `tfsdk:"pinecone_configuration"`
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RDSConfiguration fwtypes.ListNestedObjectValueOf[rdsConfigurationModel] `tfsdk:"rds_configuration"`
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RedisEnterpriseCloudConfiguration fwtypes.ListNestedObjectValueOf[redisEnterpriseCloudConfigurationModel] `tfsdk:"redis_enterprise_cloud_configuration"`
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S3VectorsConfiguration fwtypes.ListNestedObjectValueOf[s3VectorsConfigurationModel] `tfsdk:"s3_vectors_configuration"`
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Type fwtypes.StringEnum[awstypes.KnowledgeBaseStorageType] `tfsdk:"type"`
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}
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type mongoDBAtlasConfigurationModel struct {
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CollectionName types.String `tfsdk:"collection_name"`
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CredentialsSecretARN fwtypes.ARN `tfsdk:"credentials_secret_arn"`
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DatabaseName types.String `tfsdk:"database_name"`
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Endpoint types.String `tfsdk:"endpoint"`
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EndpointServiceName types.String `tfsdk:"endpoint_service_name"`
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FieldMapping fwtypes.ListNestedObjectValueOf[mongoDBAtlasFieldMappingModel] `tfsdk:"field_mapping"`
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TextIndexName types.String `tfsdk:"text_index_name"`
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VectorIndexName types.String `tfsdk:"vector_index_name"`
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}
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type mongoDBAtlasFieldMappingModel struct {
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MetadataField types.String `tfsdk:"metadata_field"`
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TextField types.String `tfsdk:"text_field"`
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VectorField types.String `tfsdk:"vector_field"`
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}
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type openSearchManagedClusterConfigurationModel struct {
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DomainARN fwtypes.ARN `tfsdk:"domain_arn"`
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DomainEndpoint types.String `tfsdk:"domain_endpoint"`

‎internal/service/bedrockagent/knowledge_base_test.go‎

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@@ -482,6 +482,7 @@ func testAccKnowledgeBase_OpenSearchManagedCluster_basic(t *testing.T) {
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})),
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statecheck.ExpectKnownValue(resourceName, tfjsonpath.New("storage_configuration"), knownvalue.ListExact([]knownvalue.Check{
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knownvalue.MapExact(map[string]knownvalue.Check{
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"mongo_db_atlas_configuration": knownvalue.ListSizeExact(0),
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"opensearch_managed_cluster_configuration": knownvalue.ListSizeExact(1),
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"opensearch_serverless_configuration": knownvalue.ListSizeExact(0),
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names.AttrType: tfknownvalue.StringExact(awstypes.KnowledgeBaseStorageTypeOpensearchManagedCluster),
@@ -525,6 +526,7 @@ func testAccKnowledgeBase_S3Vectors_update(t *testing.T) {
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ConfigStateChecks: []statecheck.StateCheck{
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statecheck.ExpectKnownValue(resourceName, tfjsonpath.New("storage_configuration"), knownvalue.ListExact([]knownvalue.Check{
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knownvalue.MapExact(map[string]knownvalue.Check{
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"mongo_db_atlas_configuration": knownvalue.ListSizeExact(0),
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"opensearch_managed_cluster_configuration": knownvalue.ListSizeExact(0),
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"opensearch_serverless_configuration": knownvalue.ListSizeExact(0),
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names.AttrType: tfknownvalue.StringExact(awstypes.KnowledgeBaseStorageTypeS3Vectors),

‎website/docs/r/bedrockagent_knowledge_base.html.markdown‎

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@@ -246,14 +246,31 @@ The `s3_location` configuration block supports the following arguments:
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The `storage_configuration` configuration block supports the following arguments:
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* `type` - (Required) Vector store service in which the knowledge base is stored. Valid Values: `OPENSEARCH_SERVERLESS`, `OPENSEARCH_MANAGED_CLUSTER`, `PINECONE`, `REDIS_ENTERPRISE_CLOUD`, `RDS`, `S3_VECTORS`.
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* `type` - (Required) Vector store service in which the knowledge base is stored. Valid Values: `MONGO_DB_ATLAS`, `OPENSEARCH_SERVERLESS`, `OPENSEARCH_MANAGED_CLUSTER`, `PINECONE`, `REDIS_ENTERPRISE_CLOUD`, `RDS`, `S3_VECTORS`.
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* `mongo_db_atlas_configuration` – (Optional) The storage configuration of the knowledge base in MongoDB Atlas. See [`opensearch_managed_cluster_comongo_db_atlas_configurationnfiguration` block](#mongo_db_atlas_configuration-block) for details.
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* `opensearch_managed_cluster_configuration` - (Optional) The storage configuration of the knowledge base in Amazon OpenSearch Service Managed Cluster. See [`opensearch_managed_cluster_configuration` block](#opensearch_managed_cluster_configuration-block) for details.
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* `opensearch_serverless_configuration` - (Optional) The storage configuration of the knowledge base in Amazon OpenSearch Service Serverless. See [`opensearch_serverless_configuration` block](#opensearch_serverless_configuration-block) for details.
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* `pinecone_configuration` - (Optional) The storage configuration of the knowledge base in Pinecone. See [`pinecone_configuration` block](#pinecone_configuration-block) for details.
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* `rds_configuration` - (Optional) Details about the storage configuration of the knowledge base in Amazon RDS. For more information, see [Create a vector index in Amazon RDS](https://docs.aws.amazon.com/bedrock/latest/userguide/knowledge-base-setup.html). See [`rds_configuration` block](#rds_configuration-block) for details.
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* `redis_enterprise_cloud_configuration` - (Optional) The storage configuration of the knowledge base in Redis Enterprise Cloud. See [`redis_enterprise_cloud_configuration` block](#redis_enterprise_cloud_configuration-block) for details.
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* `s3_vectors_configuration` - (Optional) The storage configuration of the knowledge base in Amazon S3 Vectors. See [`s3_vectors_configuration` block](#s3_vectors_configuration-block) for details.
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### `mongo_db_atlas_configuration` block
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The `mongo_db_atlas_configuration` configuration block supports the following arguments:
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* `collection_name` – (Required) The name of the collection in the MongoDB Atlas database.
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* `credentials_secret_arn` – (Required) The ARN of the secret that you created in AWS Secrets Manager that is linked to your MongoDB Atlas database.
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* `database_name` – (Required) The name of the database in the MongoDB Atlas database.
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* `endpoint` – (Required) The endpoint URL of the MongoDB Atlas database.
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* `field_mapping` – (Required) Contains the names of the fields to which to map information about the vector store.
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* `metadata_field` – (Required) The name of the field in which Amazon Bedrock stores metadata about the vector store.
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* `text_field` – (Required) 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.
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* `vector_field` – (Required) The name of the field in which Amazon Bedrock stores the vector embeddings for your data sources.
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* `vector_index_name` – (Required) The name of the vector index.
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* `endpoint_service_name` – (Optional) The name of the service that hosts the MongoDB Atlas database.
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* `text_index_name` – (Optional) The name of the vector index.
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### `opensearch_managed_cluster_configuration` block
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The `opensearch_managed_cluster_configuration` configuration block supports the following arguments:

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