
Category:
Category:
Retrieval-augmented Generation 2.0 (RAG 2.0)
Category:
RAG & Retrieval
Definition
Next-generation RAG systems using re-ranking, multi-hop retrieval, and verification.
Explanation
RAG 2.0 improves the original RAG pipeline by integrating re-ranking, hybrid search, multi-hop reasoning, grounding models, and verification layers. It dramatically improves factual accuracy, reduces hallucinations, and supports complex enterprise workloads.
Technical Architecture
Query → Hybrid Retrieval → Reranker → Multi-hop Retrieval → Grounding → LLM → Verification → Output
Core Component
Hybrid search, reranker, verifier, grounding layer, multi-hop retriever
Use Cases
Enterprise search, legal/medical QA, analytics assistants
Pitfalls
Higher latency; more expensive; requires detailed tuning
LLM Keywords
RAG 2.0, Advanced RAG, Enterprise RAG
Related Concepts
Related Frameworks
• Grounding
• Hybrid Retrieval
• Hallucination Mitigation
• RAG 2.0 Pipeline
