Translations:FACTS About Building Retrieval Augmented Generation-based Chatbots/28/es: 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.

Arquitecturas Agénticas: Preguntas como "compara los ingresos de NVIDIA desde el primer trimestre hasta el cuarto trimestre del año fiscal 2024 y proporciona un comentario analítico sobre los factores clave que contribuyeron a los cambios en los ingresos durante este tiempo" requieren agentes complejos capaces de descomponer y orquestar consultas. La Figura 2 muestra un mecanismo que implementamos para abordar tales preguntas en el bot Scout. A partir de nuestra experiencia construyendo los tres bots, hemos comprendido que los sistemas de recuperación de información (IR) y los modelos de lenguaje de gran tamaño (LLM) son insuficientes para responder consultas complejas. Se necesitan agentes complejos y arquitecturas de múltiples agentes para manejar consultas complejas.