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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

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