Advanced RAG architectures
RAG for Optimizing Generative AI - Response generation from LLMs enhanced by information retrieval
Article REF: H6042 V1
Advanced RAG architectures
RAG for Optimizing Generative AI - Response generation from LLMs enhanced by information retrieval

Author : Patrice BELLOT

Publication date: October 10, 2025 | Lire en français

Logo Techniques de l'Ingenieur You do not have access to this resource.
Request your free trial access! Free trial

Already subscribed?

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 (§ ...

You do not have access to this resource.
Logo Techniques de l'Ingenieur

Exclusive to subscribers. 97% yet to be discovered!

You do not have access to this resource. Click here to request your free trial access!

Already subscribed?


Article included in this offer

"Digital documents and content management"

( 71 articles )

Complete knowledge base

Updated and enriched with articles validated by our scientific committees

Services

A set of exclusive tools to complement the resources

View offer details