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Reor AI Notetaking App Run With Llama 3 Build Your Vector Database All Locally
🕑 Added 2024-05-08 12:00:10 +0000 UTC
Video : https://youtu.be/BRleP5XKxjw
Introduce you to a game-changing app called Reor. Reor AI Notetaking App is perfect for all your note-taking needs, and we connect with Ollama Llama 3 AI model.
Install Ollama On Windows Guide : https://youtu.be/3t_P0tDvRCE
With The Reor, you can seamlessly integrate AI, including OpenAI's ChatGPT and other compatible APIs, into your note-taking experience. Imagine collaborating with large language models, allowing you to co-edit your content and enhance your productivity. It's like having a copilot for your note-taking journey!
In this video, I'll walk you through the installation process, step-by-step. Whether you're using Windows or another operating system, I've got you covered. I'll also guide you on setting up Ollama, an essential component for running The Reor on your local machine.
Once we have everything set up, I'll demonstrate how to use The Reor to create and organize your notes effortlessly. You can manually input text or utilize the power of large language models to generate content for you. It's a simple yet incredibly useful app that will revolutionize your note-taking experience.
One of the most exciting features of The Reor is its ability to connect with local hosted large language models. This ensures that all your data and content remain private, giving you peace of mind while working with sensitive information. I'll provide you with more details on how to attach local large language models and connect with other APIs in the video.
So, if you're ready to take your note-taking game to the next level, join me in this video as we explore The Reor and unlock its full potential. Don't forget to like this video, subscribe to my channel, and hit the notification bell, so you don't miss any future updates.
Download The Reor from their official website or GitHub page and let's dive into the world of AI-powered note-taking together!
Reor project
https://www.reorproject.org/downloads
Ollama
Ollama run llama3
https://ollama.com/library/llama3
