rag & vectors for non ml teams

RAG & Vectors for Non-ML Teams: A Practical Guide

RAG explained without jargon: what problem it actually solves Retrieval-Augmented Generation (RAG) is a way to make AI models more accurate by letting them “look things up” before answering. Instead of forcing an LLM to memorize everything, RAG connects it to an external knowledge base. The problem it solves: hallucinations and outdated answers. If you […]

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