Augment response generation for your agent with knowledge base
Amazon Bedrock Agents Classic availability
You can no longer sign up for Amazon Bedrock Agents (now Amazon Bedrock Agents Classic). If you already use Agents Classic, you can continue to use it.
For more information about building code-defined agents with the Strands Agents SDK, see Get started with Amazon Bedrock AgentCore. For more information about Agents Classic, see Amazon Bedrock Agents Classic maintenance mode.
Amazon Bedrock Knowledge Bases help you take advantage of Retrieval Augmented Generation (RAG), a popular technique that involves drawing information from a data store to augment the responses generated by Large Language Models (LLMs). When you set up a knowledge base with your data source and vector store, your application can query the knowledge base to return information to answer the query either with direct quotations from sources or with natural responses generated from the query results.
To use Amazon Bedrock Knowledge Bases with your Amazon Bedrock Agent, you'll have to first create a knowledge base and then associate the knowledge base with the agent. If you haven't yet created a knowledge base, see Retrieve data and generate AI responses with Amazon Bedrock Knowledge Bases to learn about knowledge bases and create one. You can associate a knowledge base during agent creation or after an agent has been created. To associate a knowledge base to an existing agent, choose the tab for your preferred method, and then follow the steps:
You can modify the query configurations of a knowledge base attached to your agent by using the sessionState field in the InvokeAgent request when you invoke your agent. For more information, see Control agent session context.