Article | REF: H6042 V1

RAG for Optimizing Generative AI - Response generation from LLMs enhanced by information retrieval

Author: Patrice BELLOT

Publication date: October 10, 2025 | Lire en français

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    4. Advanced RAG architectures

    4.1 Dynamic strategies according to the nature of the questions

    The basic RAG architecture can be made more complex, to better handle sophisticated questions that require several sources of information, that rely on expert knowledge, or that need to follow an incremental exploratory approach. The three variants presented here propose a dynamic adaptation, depending on the nature and content of the questions, which exploits orchestration and memory mechanisms applicable to query sequences and which are integrated into frameworks such as QueryPipeline and QueryEngineTool from LlamaIndex (§ ...

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