https://ai-blog.noorshomelab.dev/tags/multi-hop-retrieval/Recent content in Multi-Hop Retrieval on AI VOIDHugoenFri, 20 Mar 2026 00:00:00 +0000https://ai-blog.noorshomelab.dev/rag-2-0-guide-2026/query-rewriting-multi-hop-retrieval/Fri, 20 Mar 2026 00:00:00 +0000https://ai-blog.noorshomelab.dev/rag-2-0-guide-2026/query-rewriting-multi-hop-retrieval/<h2 id="introduction-beyond-simple-search">Introduction: Beyond Simple Search</h2> <p>Welcome back, fellow RAG enthusiasts! In our previous chapters, we laid the groundwork for Retrieval-Augmented Generation, exploring how to get relevant information to Large Language Models (LLMs) to improve their outputs. We&rsquo;ve seen how crucial effective retrieval is, but what happens when a user&rsquo;s question isn&rsquo;t straightforward? What if the query is ambiguous, uses different terminology than your knowledge base, or requires piecing together information from multiple, distinct sources?</p>https://ai-blog.noorshomelab.dev/rag-2-0-guide-2026/Fri, 20 Mar 2026 00:00:00 +0000https://ai-blog.noorshomelab.dev/rag-2-0-guide-2026/<p>This comprehensive guide delves into the evolution of Retrieval-Augmented Generation, moving beyond basic RAG to explore advanced RAG 2.0 architectures. We cover critical components like hybrid search, vector embeddings, GraphRAG, multi-hop retrieval, and intelligent context assembly. Discover how these modern systems significantly enhance accuracy and relevance, complete with real-world applications and project insights.</p>