Unless you've been living under a rock, you are sure to have heard of RAG. It's a buzzword in the LLM (large language model) landscape and hard to miss. While some regard it as fancier prompt engineering, others see it as a must-have capability for scaling enterprise applications and products.
The reasons for its popularity are aplenty, and it seems that everyone is eager to explore and utilise RAG in their daily tasks and ventures.
RAG, or retrieval-augmented generation, stands out for its unique blend of benefits and cost-effectiveness. Its advantages include dynamic knowledge control, access to current and reliable information, transparent source verification, effective information leakage mitigation, domain-specific expertise, and low maintenance costs, etc.
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