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Advanced RAG Techniques: Production-ready Gen AI Applications
Retrieval-augmented generation (RAG) is a hybrid approach that enhances the capabilities of generative models by incorporating relevant information retrieved from a large corpus. RAG Techniques involves three main steps: 1. RAG Pre-Retrieval Optimisation The pre-retrieval is a foundation step of Retrieval-Augmented Generation systems. It involves preparing the data, storing it efficiently,...
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