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Is your RAG agent hallucinating or missing obvious answers? 😵💫 Basic RAG is just the beginning. We're breaking down 11 advanced strategies to fix its flaws and build a production-ready system. We’ll talk about: A deep dive into 11 distinct RAG strategies, from simple wins like Reranking to advanced techniques like Knowledge Graphs.The "Must-Haves": why Context-Aware Chunking and Reranking should be in almost every production RAG system.How to use Query Expansion to "cast a wider net" and catch relevant documents even when users ask vague questions.The power of Agentic RAG for complex, multi-step questions that require planning and multiple searches.Plus, a "RAG Traps" guide to avoid common mistakes like over-engineering and ignoring latency.Keywords: RAG, Retrieval-Augmented Generation, AI Agents, Vector Database, Knowledge Graph, Reranking, Query Expansion, Contextual Retrieval, AI Engineering, LLM Links: Newsletter: Sign up for our FREE daily newsletter.Our Community: Get 3-level AI tutorials across industries.Join AI Fire Academy: 500+ advanced AI workflows ($14,500+ Value) Our Socials: Facebook Group: Join 267K+ AI buildersX (Twitter): Follow us for daily AI dropsYouTube: Watch AI walkthroughs & tutorials