bedrockagent_create_knowledge_base: Creates a knowledge base

In paws.machine.learning: 'Amazon Web Services' Machine Learning Services

Creates a knowledge base

Description

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.

See https://www.paws-r-sdk.com/docs/bedrockagent_create_knowledge_base/ for full documentation.

Usage

bedrockagent_create_knowledge_base(
  clientToken = NULL,
  description = NULL,
  knowledgeBaseConfiguration,
  name,
  roleArn,
  storageConfiguration = NULL,
  tags = NULL
)

Arguments

clientToken	A unique, case-sensitive identifier to ensure that the API request completes no more than one time. If this token matches a previous request, Amazon Bedrock ignores the request, but does not return an error. For more information, see Ensuring idempotency.
description	A description of the knowledge base.
knowledgeBaseConfiguration	[required] Contains details about the embeddings model used for the knowledge base.
name	[required] A name for the knowledge base.
roleArn	[required] The Amazon Resource Name (ARN) of the IAM role with permissions to invoke API operations on the knowledge base.
storageConfiguration	Contains details about the configuration of the vector database used for the knowledge base.
tags	Specify the key-value pairs for the tags that you want to attach to your knowledge base in this object.

paws.machine.learning documentation built on April 3, 2025, 8:41 p.m.