🧠 What is RAG (Retrieval-Augmented Generation) and why it matters in 2026:RAG = LLM + Your Own DataInstead of retraining models, you inject relevant context at query time. Result? Accurate, grounded AI that doesn't hallucinate.I've built RAG systems for production at scale. Key lessons:✔️ Chunk strategy matters more than the model✔️ Embedding quality = retrieval quality✔️ Reranking is underratedAsk me anything 👇#RAG #LLM #AI #GenerativeAI #MachineLearning #WebDev #FullStack
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