What architecture do you use to ensure the contextual accuracy of the responses?

Our solution is based on the RAG (Retrieval-Augmented Generation) architecture. Instead of solely relying on the internal weights of the LLM, the Agent, upon receiving the email prompt, executes a vector search within the embeddings of your Knowledge Base, retrieves the most relevant excerpt, and grounds the response in that specific and validated data.