This post is divided into five parts: • Understanding the RAG architecture • Building the Document Indexing System • Implementing the Retrieval System • Implementing the Generator • Building the Complete RAG System An RAG system consists of two main components: • Retriever: Responsible for finding relevant documents or passages from a knowledge base given a query.
source https://machinelearningmastery.com/building-rag-systems-with-transformers/
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