Multi-Stage RAG Pipelines
Design and implement complex RAG workflows involving multiple retrieval and generation steps for nuanced responses.
What is Multi-Stage RAG?
Traditional RAG (Retrieval Augmented Generation) works well for straightforward questions. However, for complex or ambiguous queries, a single retrieval and generation step can often fall short.
Multi-stage RAG pipelines address this by breaking down the problem into several sequential steps, refining the search and generation process at each stage to produce more accurate and nuanced answers.
Why Go Multi-Stage?
A basic RAG setup might struggle with:
- Multi-part questions: "Who founded Apple and when was their first product released?"
- Ambiguous queries: Needing iterative clarification.
- Deep contextual understanding: Requiring information from disparate sources or multiple 'hops' in knowledge.
Multi-stage RAG enhances the system's ability to handle these challenges by processing information more thoroughly.
All lessons in this course
- Query Transformation Techniques
- Multi-Stage RAG Pipelines
- Evaluating RAG System Performance
- Reranking Retrieved Results