Data Source schema for AWS::Bedrock::KnowledgeBase
id
(String) Uniquely identifies the resource.created_at
(String) The time at which the knowledge base was created.description
(String) Description of the Resource.failure_reasons
(List of String) A list of reasons that the API operation on the knowledge base failed.knowledge_base_arn
(String) The ARN of the knowledge base.knowledge_base_configuration
(Attributes) Contains details about the embeddings model used for the knowledge base. (see below for nested schema)knowledge_base_id
(String) The unique identifier of the knowledge base.name
(String) The name of the knowledge base.role_arn
(String) The ARN of the IAM role with permissions to invoke API operations on the knowledge base. The ARN must begin with AmazonBedrockExecutionRoleForKnowledgeBase_status
(String) The status of a knowledge base.storage_configuration
(Attributes) The vector store service in which the knowledge base is stored. (see below for nested schema)tags
(Map of String) A map of tag keys and valuesupdated_at
(String) The time at which the knowledge base was last updated.knowledge_base_configuration
Read-Only:
type
(String) The type of a knowledge base.vector_knowledge_base_configuration
(Attributes) Contains details about the model used to create vector embeddings for the knowledge base. (see below for nested schema)knowledge_base_configuration.vector_knowledge_base_configuration
Read-Only:
embedding_model_arn
(String) The ARN of the model used to create vector embeddings for the knowledge base.storage_configuration
Read-Only:
opensearch_serverless_configuration
(Attributes) Contains the storage configuration of the knowledge base in Amazon OpenSearch Service. (see below for nested schema)pinecone_configuration
(Attributes) Contains the storage configuration of the knowledge base in Pinecone. (see below for nested schema)rds_configuration
(Attributes) Contains details about the storage configuration of the knowledge base in Amazon RDS. For more information, see Create a vector index in Amazon RDS. (see below for nested schema)type
(String) The storage type of a knowledge base.storage_configuration.opensearch_serverless_configuration
Read-Only:
collection_arn
(String) The ARN of the OpenSearch Service vector store.field_mapping
(Attributes) A mapping of Bedrock Knowledge Base fields to OpenSearch Serverless field names (see below for nested schema)vector_index_name
(String) The name of the vector store.storage_configuration.opensearch_serverless_configuration.field_mapping
Read-Only:
metadata_field
(String) The name of the field in which Amazon Bedrock stores metadata about the vector store.text_field
(String) 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.vector_field
(String) The name of the field in which Amazon Bedrock stores the vector embeddings for your data sources.storage_configuration.pinecone_configuration
Read-Only:
connection_string
(String) The endpoint URL for your index management page.credentials_secret_arn
(String) The ARN of the secret that you created in AWS Secrets Manager that is linked to your Pinecone API key.field_mapping
(Attributes) Contains the names of the fields to which to map information about the vector store. (see below for nested schema)namespace
(String) The namespace to be used to write new data to your database.storage_configuration.pinecone_configuration.field_mapping
Read-Only:
metadata_field
(String) The name of the field in which Amazon Bedrock stores metadata about the vector store.text_field
(String) 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.storage_configuration.rds_configuration
Read-Only:
credentials_secret_arn
(String) The ARN of the secret that you created in AWS Secrets Manager that is linked to your Amazon RDS database.database_name
(String) The name of your Amazon RDS database.field_mapping
(Attributes) Contains the names of the fields to which to map information about the vector store. (see below for nested schema)resource_arn
(String) The ARN of the vector store.table_name
(String) The name of the table in the database.storage_configuration.rds_configuration.field_mapping
Read-Only:
metadata_field
(String) The name of the field in which Amazon Bedrock stores metadata about the vector store.primary_key_field
(String) The name of the field in which Amazon Bedrock stores the ID for each entry.text_field
(String) 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.vector_field
(String) The name of the field in which Amazon Bedrock stores the vector embeddings for your data sources.