The Retrieval Augmented Generation (RAG) paradigm has popularized the notion of supplementing prompts for GenAI models with trusted enterprise data. Many organizations utilize this practice to restrict model outputs to their data, improve the accuracy of responses, and minimize models’ tendencies to deliver fallacious outputs. But there are alternative forms of prompt augmentation that can… Read More »Revamping prompt augmentation: Multi-agent architecture and LangGraph
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