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What is the most appropriate way to operate a RAG knowledge base when pest information and new pesticide data are frequently updated?
①Rebuild the entire knowledge base once a year.
②Storing new information as raw data and feeding it to the model sequentially.
③Retraining large-scale models each time to incorporate the latest knowledge.
④Re-embed new documents incrementally and update the index with low latency.
⑤Make it refer only to the fixed version, ignoring update frequency.