Evaluating Contextual Grounding in Agentic RAG Chatbots with Amazon Bedrock Guardrails
Explore how organizations can ensure trustworthy, factually grounded responses in agentic RAG chatbots by evaluating contextual grounding methods, using Amazon Bedrock Guardrails and custom LLM-based scoring, to reduce hallucinations and build user confidence in high-stakes domains.