Getting personalized AI output with AWS Knowledge Base RAG

AWS Bedrock LLM users can enhance the ai command with AWS Knowledge Base (KB) Retrieval-Augmented Generation (RAG). This feature transforms generic ai command responses into specific, actionable instructions, based on your environment, procedures, and runbooks.

The AWS-RAG feature offers the following benefits:

• Direct integration: Connects AWS Bedrock LLMs directly to your knowledge bases without additional infrastructure setup.

• RAG-powered intelligence: Transforms generic AI responses into precise, context-aware insights by retrieving relevant documents from organizational knowledge before generating responses.

• Contextually relevant output: Uses your documentation, runbooks, incident histories, and internal procedures to provide tailored, actionable guidance instead of generic suggestions.

Use AWS KB RAG with your existing AWS Bedrock LLMs and as part of your ai command in your Search Processing Language (SPL) searches by adding the kb_id command.