💥 Common RAG mistakes I see in production:❌ Retrieving too many chunks (bloats context, adds noise)❌ No re-ranking (BM25 + semantic hybrid is better)❌ Ignoring metadata filtering (filter before vector search)❌ Not caching embeddings ($$$ waste)❌ No hallucination detection layer❌ Missing query transformation (rephrase ambiguous queries)RAG is an engineering problem, not a magic bullet.#RAG #LLM #AI #GenerativeAI #MachineLearning #FullStack #Production
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