Category: Retrieval Augmented Generation
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Building a High-Quality RAG System: Challenges and Solutions
In the fast-evolving field of AI, Retrieval-Augmented Generation (RAG) has become a standout technique by effectively bridging the gap between information retrieval and text generation. Essentially, a RAG system retrieves relevant documents from a large corpus in response to a user query, then uses a generative model to produce a coherent response grounded in the…
Ali Darbehani 