What is retrieval augmented generation(RAG)?

- [00:01](   • What is Retrieval Augmented Generatio...  ) Retrieval Augmented Generation (RAG) is a useful prompting technique for businesses.
- RAG focuses on bringing awareness of domain-specific knowledge.
- It involves content grounding by accessing specific knowledge sources (e.g., Expedia API).
- RAG improves the results generated by language models like LLMs.
- The process involves a retriever understanding the question's intent, pushing it to a knowledge base, and then generating an answer.
- Companies should invest in accurate knowledge bases for effective RAG implementation.

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