Definition
Advanced RAG refers to a multi-stage retrieval architecture that moves beyond simple vector similarity by implementing pre-retrieval strategies (like query expansion or HyDE) and post-retrieval processing (like semantic reranking or context compression). It optimizes the retrieval pipeline to handle complex queries and noisy data, trading increased computational latency for significantly higher precision and factual grounding.
Moves beyond the basic 'Naive RAG' pattern of simple top-k vector lookup to multi-step orchestration.
"A multi-stage water filtration system where raw input passes through specialized physical and chemical filters to ensure only high-purity context reaches the reservoir."
- Semantic Reranking(Component)
- Naive RAG(Prerequisite)
- HyDE (Hypothetical Document Embeddings)(Component)
- Query Decomposition(Component)
Conceptual Overview
Advanced RAG refers to a multi-stage retrieval architecture that moves beyond simple vector similarity by implementing pre-retrieval strategies (like query expansion or HyDE) and post-retrieval processing (like semantic reranking or context compression). It optimizes the retrieval pipeline to handle complex queries and noisy data, trading increased computational latency for significantly higher precision and factual grounding.
Disambiguation
Moves beyond the basic 'Naive RAG' pattern of simple top-k vector lookup to multi-step orchestration.
Visual Analog
A multi-stage water filtration system where raw input passes through specialized physical and chemical filters to ensure only high-purity context reaches the reservoir.