Modular RAG: Building Flexible RAG Pipelines

In the previous lessons, we explored naive RAG and advanced RAG, two RAG approaches that enhance the capabilities of LLMs. While naive RAG offers a simple and effective starting point, it can be limited by retrieval accuracy and LLM integration. Advanced RAG addresses these issues by introducing pre-retrieval, retrieval, and post-retrieval optimization strategies.

Now, let’s explore modular RAG, the most flexible and adaptable architecture within the RAG family. In this lesson, we will briefly discuss modular RAG, as the focus of this course is on advanced RAG and its optimization techniques.

Modular RAG and its