RAGate is a mechanism designed to enhance conversational AI by dynamically deciding when to use external versus internal knowledge for generating responses. It aims to make interactions more natural and efficient by balancing internal insights with external information. The approach offers three variants: RAGate-Prompt,
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RAGate: Adaptive RAG for Conversational AIWhat is Conversational AI, really?What is External Knowledge and Internal Knowledge of AI systems?RAG and Guardrails — powerful duo, but with limitations!Balancing Act with RAGateRAGate ExampleVariants of RAGateHow to implement RAGate?TakeawaysSort: