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.
Discover what real-time Retrieval-Augmented Generation (RAG) is, how it works, the benefits and challenges of implementing it, and real-world use cases.
Learn how understanding tokenomics helps organizations optimize the cost and profitability of their generative AI applications—making them both financially sustainable and scalable.
Dive into the dynamic world of generative AI with our whitepaper, packed with insights and strategies that will enable business leaders to implement their generative AI initiatives successfully.
In this whitepaper, you'll discover:
