RAG - Codersera Blogs

RAG

A collection of 3 posts

Karpathy's LLM Knowledge Base

Karpathy's LLM Knowledge Base: How He Uses AI to Build and Manage His Second Brain

Andrej Karpathy revealed a shift from using LLMs for code generation to building a self-maintaining personal knowledge base. Here's the full architecture and how to build your own.

CAG vs. RAG: Which Augmented Generation is Better?

CAG vs. RAG: Which Augmented Generation is Better?

Cache-Augmented Generation (CAG) and Retrieval-Augmented Generation (RAG) constitute two distinct paradigms for augmenting large language models (LLMs) with external knowledge. While both frameworks are designed to enhance response fidelity and contextual relevance, they differ fundamentally in their architectural implementations, computational trade-offs, and optimal deployment scenarios. This article provides a rigorous

RAG Over Excel: An Advanced Analytical Framework

RAG Over Excel: An Advanced Analytical Framework

Retrieval-Augmented Generation (RAG) represents a sophisticated AI paradigm that synthesizes document retrieval methodologies with generative AI, enabling nuanced, contextually enriched outputs. When integrated into Excel, RAG facilitates enhanced data interrogation and semantic inference within structured datasets. This guide systematically explores the theoretical underpinnings of RAG, its functional application within Excel,