bedrockagentruntime_agentic_retrieve_stream: Retrieves information from one or more knowledge bases using...

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

Retrieves information from one or more knowledge bases using an agentic approach

Description

Retrieves information from one or more knowledge bases using an agentic approach. Agentic retrieval uses a foundation model to intelligently decompose complex queries into sub-queries and iteratively retrieve relevant information from your knowledge bases. This approach improves retrieval accuracy for complex, multi-step questions that a single retrieval pass might not fully address.

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

Usage

bedrockagentruntime_agentic_retrieve_stream(
  agenticRetrieveConfiguration,
  generateResponse = NULL,
  memoryConfiguration = NULL,
  messages,
  nextToken = NULL,
  policyConfiguration = NULL,
  retrievers,
  userContext = NULL
)

Arguments

agenticRetrieveConfiguration	[required] Configuration settings for the agentic retrieval operation.
generateResponse	Whether to generate a response based on the retrieved results.
memoryConfiguration	The configuration for using an Amazon Bedrock AgentCore Memory resource with this retrieval.
messages	[required] The list of messages for the agentic retrieval conversation.
nextToken	Opaque continuation token for paginated results.
policyConfiguration	Policy configuration for guardrails and content filtering.
retrievers	[required] The list of retrievers to use for agentic retrieval.
userContext	Contains information about the user making the request. This is used for access control filtering to ensure that retrieval results only include documents the user is authorized to access.

paws.machine.learning documentation built on Oct. 8, 2026, 9:06 a.m.