Translations:FACTS About Building Retrieval Augmented Generation-based Chatbots/28/pt: Difference between revisions

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'''Agentic Architectures''': Questions such as ‘compare the revenue of NVIDIA from Q1 through Q4 of FY2024 and provide an analytical commentary on the key contributing factors that led to the changes in revenues during this time’ require complex agents that are capable of query decomposition and orchestration. Figure [[#S3.F2|2]] shows one mechanism we had implemented to deal with such questions in Scout bot. From our experience of building the three bots, we have realized that IR systems and LLMs are insufficient for answering complex queries. Complex agents and multi-agent architectures are needed to handle complex queries.

Arquiteturas Agenciais: Perguntas como 'compare a receita da NVIDIA do Q1 ao Q4 do FY2024 e forneça um comentário analítico sobre os principais fatores que contribuíram para as mudanças nas receitas durante esse período' exigem agentes complexos capazes de decomposição e orquestração de consultas. A Figura 2 mostra um mecanismo que implementamos para lidar com tais perguntas no bot Scout. A partir da nossa experiência na construção dos três bots, percebemos que os sistemas de IR e LLMs são insuficientes para responder a consultas complexas. Agentes complexos e arquiteturas multiagentes são necessários para lidar com consultas complexas.