CreateKnowledgeBaseRequest

Class

Container for the parameters to the CreateKnowledgeBase operation. Creates a knowledge base. A knowledge base contains your data sources so that Large Language Models (LLMs) can use your data. 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 a knowledge base.

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.

Namespace: Amazon.BedrockAgent.Model
Assembly: AWSSDK.BedrockAgent.dll
Version: 3.x.y.z