sergiopaniego/RAG_local_tutorial
Simple RAG tutorials that can be run locally or using Google Colab (only Pro version).
This project offers practical guides for extracting specific details from various types of content using a local Large Language Model. You can input files like PDFs, YouTube videos, audio recordings, or even entire GitHub repositories. The output is a clear, concise summary or specific information derived from your input, making it useful for researchers, analysts, or anyone needing to quickly digest information from diverse sources.
No commits in the last 6 months.
Use this if you need to quickly get answers or extract specific details from documents, videos, audio, or code repositories without sending your data to external AI services.
Not ideal if you prefer using cloud-based AI services or do not want to set up local software for running AI models.
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47
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Jupyter Notebook
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Last pushed
Jul 22, 2024
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