While exploring AI use cases, I discovered Retrieval-Augmented Generation (RAG). This technique in natural language processing merges information retrieval with text generation. By doing so, it boosts the abilities of language models to generate responses not just from their pre-trained knowledge but also by sourcing information from contextually relevant documents, leading to more accurate, precise,…

Read More