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Creates a knowledge base that contains data sources from which information can be
queried and used by LLMs. To create a knowledge base, you must first set up your data
sources and configure a supported vector store. For more information, see Set
up your data for ingestion.
If you prefer to let Amazon Bedrock create and manage a vector store for you in Amazon
OpenSearch Service, use the console. For more information, see Create
a knowledge base.
Provide the name and an optional description.
Provide the Amazon Resource Name (ARN) with permissions to create a knowledge base
in the roleArn field.
Provide the embedding model to use in the embeddingModelArn field in the knowledgeBaseConfiguration
object.
Provide the configuration for your vector store in the storageConfiguration
object.
For an Amazon OpenSearch Service database, use the opensearchServerlessConfiguration
object. For more information, see Create
a vector store in Amazon OpenSearch Service.
For an Amazon Aurora database, use the RdsConfiguration object. For more information,
see Create
a vector store in Amazon Aurora.
For a Pinecone database, use the pineconeConfiguration object. For more information,
see Create
a vector store in Pinecone.
For a Redis Enterprise Cloud database, use the redisEnterpriseCloudConfiguration
object. For more information, see Create
a vector store in Redis Enterprise Cloud.
For .NET Core this operation is only available in asynchronous form. Please refer to CreateKnowledgeBaseAsync.
Namespace: Amazon.BedrockAgent
Assembly: AWSSDK.BedrockAgent.dll
Version: 3.x.y.z
public virtual CreateKnowledgeBaseResponse CreateKnowledgeBase( CreateKnowledgeBaseRequest request )
Container for the necessary parameters to execute the CreateKnowledgeBase service method.
| Exception | Condition |
|---|---|
| AccessDeniedException | The request is denied because of missing access permissions. |
| ConflictException | There was a conflict performing an operation. |
| InternalServerException | An internal server error occurred. Retry your request. |
| ServiceQuotaExceededException | The number of requests exceeds the service quota. Resubmit your request later. |
| ThrottlingException | The number of requests exceeds the limit. Resubmit your request later. |
| ValidationException | Input validation failed. Check your request parameters and retry the request. |
.NET Framework:
Supported in: 4.5 and newer, 3.5