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ai guide

Agentic RAG: Letting the LLM Decide When to Search Again

For complex multi-hop questions, a single RAG search isn't enough. Agentic RAG lets the LLM evaluate whether retrieved results are sufficient — if not, it rewrites the query and searches again, forming a ReAct loop.

#rag#agentic-rag#react#multi-hop#llm-agent
ai guide

GraphRAG: Structuring Knowledge as a Graph for Relationship-Based Reasoning

Vector search finds similarity; graph search traverses relationships. When a question requires reasoning across multiple entities — crag → route → sender → grade distribution — GraphRAG outperforms standard RAG.

#rag#graphrag#knowledge-graph#multi-hop#microsoft