We’ll learn to implement RAG with LangChain using Google Gemini models and a knowledge base.

What is text retrieval with RAG?

Text retrieval simply means retrieving relevant text from a large dataset. Text retrieval with RAG is an approach where the retrieval and generation models are combined to generate the most relevant and accurate responses to text queries. This way, we combine the information retrieval with the power generation models to generate contextually rich responses.

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