Retrieval-Augmented Generation (RAG) has become the default approach for providing context and memory to AI applications. Understanding the RAG pipeline—from document ingestion to final response generation—is essential for building high-performance AI systems. This comprehensive guide explores each stage of the RAG workflow, with special focus on...
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