How to Implement RAG with Gemma Model on Your Documents: A Step-by-Step Local Setup Guide

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Unlock the power of Retrieval-Augmented Generation (RAG) locally using the Gemma model with our detailed step-by-step tutorial. Learn how to enhance your projects by integrating RAG for insightful document processing and AI-driven content generation. Perfect for developers, data scientists, and AI enthusiasts eager to leverage advanced NLP techniques on their own documents. No prior RAG experience required!

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Your a good coder. Great guide videos

UserB_tm
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it is great video. I have a question. I am not faimilar with RAG. after RAG is integrated, some dataset is not necessary to train RAG?

koreanhomechef
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Hi i am not running on a very beefy system but i know it has handled a gemma 2b fine tune sft before. but when i run with this code and i have typed in just hi to the model to test, it has still not generated anything. it has been 700 secs. please help.

DoomsdayDatabase
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I would not even give gemma a try it is so last gen, so behind Mistral. It is released 1 year late.

JGKorny