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RAG Explained: Bridging LLMs with Real‑Time Knowledge

The RAG model allows for more intelligent use of AI. Instead of just providing answers based on what it already knows, it obtains fresh, current information from outside sources. This suggests that the answers are more accurate and less likely to be wrong. Chatbots, customer service, and research tools all greatly benefit from it. RAG enhances AI's reliability and capacity to respond to real-world questions by merging memory and real-time data.

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RAG Explained: Bridging LLMs with Real‑Time Knowledge

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