Reor: A Self-Organizing AI Note-Taking App That Runs Models Locally (Opensource)

WorldofAI
21 Feb 202411:25

TLDRProject Reor is an innovative AI-powered desktop note-taking application that focuses on organizing personal data through self-organizing capabilities and semantic search. It allows users to locally run models, ensuring privacy and enabling the editing of notes with a markdown editor similar to Obsidian. The tool employs technologies like LLM, transformers.js, and Lance database to support large language models and enhance performance. Reor's unique selling point is its ability to connect related notes based on context, facilitating comprehensive overviews and Q&A sessions with the notes. Users can download the app across various OS, import notes from other applications, and even connect to open AI models for a seamless experience.

Takeaways

  • 🚀 Introducing reor, an AI-powered desktop note-taking application that自动链接相关的想法，回答笔记问题，并提供语义搜索功能。
  • 💡 Local storage is utilized for all data, ensuring privacy and security of user information.
  • 🌐 The app features a markdown editor similar to Obsidian, allowing users to edit notes with familiar formatting tools.
  • 🔗 reor can run any model locally, empowering users to integrate their preferred AI tools seamlessly.
  • 🎥 The demo video showcases the application's capabilities, including self-organizing notes and a chat interface for Q&A with the notes.
  • 🤖 Utilizing technologies like LLM, transformers.js, and Lance database, reor enhances the functionality of large language models.
  • 🔍 Semantic search capabilities allow users to find information based on meaning rather than just keywords.
  • 📚 Users can import notes from other applications, making it easy to consolidate and organize information.
  • 🛠️ The application can be downloaded for Windows, Mac, and Linux operating systems, or built from the source for more technical users.
  • 🔑 Integration with OpenAI is possible by connecting the app to an OpenAI API key, allowing access to advanced AI models.
  • 🎁 Patreon subscribers gain access to premium features, including AI tool subscriptions, community networking, and daily AI news updates.

Q & A

  • What is the main purpose of the reor project?

    -The main purpose of the reor project is to provide an AI-powered desktop note-taking application that can automatically link related ideas, answer questions on notes, and offer semantic search capabilities, all while storing data locally.

  • How does the reor application help with organizing personal data?

    -The reor application features a markdown editor that displays notes and a sidebar that allows users to summarize and chat with their notes. This assists in note-taking, Q&A, and semantic searching of files.

  • What kind of editor is used in the reor application?

    -The reor application uses a markdown editor that is similar to Obsidian for editing notes.

  • How does reor ensure data privacy?

    -Reor ensures data privacy by storing all data locally, which means that users do not have to worry about any privacy issues related to cloud storage or external servers.

  • What technologies does reor utilize to enhance its large language models?

    -Reor utilizes technologies such as LLaMA CPP, Transformers.js, and Lance database to enhance the running of large language models and support connections to OpenAI as well as compatible APIs like uGABBooga.

  • How does reor achieve self-organization of notes?

    -Reor achieves self-organization by breaking down each note into smaller parts, transforming them into numerical representations, and using these to establish connections between notes and similar contents within the application.

  • What is the role of the large language model in reor?

    -The large language model in reor is employed for question answering. It uses a technique called Rag (Retrieval-Augmented Generation) to access context from the notes corpus and retrieve relevant answers based on the information stored in the notes catalog.

  • How can users get started with reor?

    -Users can get started with reor by downloading the application from their website for Windows, Mac, or Linux, or by installing it through the repo and building it from the source.

  • Is it possible to import notes from other applications to reor?

    -Yes, reor provides a feature that allows users to import notes from other applications, which can be useful for transferring notes from web-based note-taking apps like Notion.

  • What are the prerequisites for building reor from the source?

    -To build reor from the source, users need to have Python and Git installed on their system.

  • How does reor support local models?

    -Reor interacts directly with the LLaMA CPP library, so there is no need to download models. Users need to manually download their models of choice and connect them with the LLaMA CPP libraries.

Outlines

00:00

🌟 Introduction to AI-Powered Note-Taking Application

This paragraph introduces an innovative AI-powered desktop note-taking application called Reor. It highlights the app's ability to automatically link related ideas, answer questions on notes, and provide semantic search capabilities. The application stores all data locally, ensuring privacy, and features an editor similar to Obsidian for note editing. The speaker emphasizes the tool's potential to enhance productivity and mentions a demo video showcasing its capabilities, including self-organizing notes and Q&A features. Additionally, the speaker discusses partnerships with major companies to provide free subscriptions to AI tools, which can further streamline business growth and improve efficiency.

05:02

🚀 Getting Started with Reor and Its Features

The second paragraph delves into the process of getting started with Reor. It explains that the application can be downloaded for various operating systems, including Windows, Mac, and Linux, and can also be installed by building it from the source. The speaker mentions the integration with the llama cppp library for running local models and the need to manually download and connect chosen models. The paragraph also highlights the ability to import notes from other applications, which can be particularly useful for users migrating from web-based note-taking apps. Detailed instructions are provided for cloning the repo and installing dependencies for those who wish to build the application from source.

10:04

🛠️ Customizing and Interacting with Reor

The final paragraph discusses the customization options and interaction with Reor. Users can configure the application by changing settings, selecting the desired large language model, and choosing embedding models. The speaker explains how to reindex files and adjust the number of notes fed to the language model during Q&A. The paragraph emphasizes the app's ability to automatically connect related notes based on context similarities and its potential as a personal AI tool. The speaker concludes by thanking the viewers, encouraging them to explore the Patreon for free subscriptions, and reminding them to stay updated with AI news by following on Twitter and subscribing to the channel.

Mindmap

Keywords

💡AI-powered note-taking application

An AI-powered note-taking application refers to software that utilizes artificial intelligence to assist users in organizing, managing, and retrieving their notes more efficiently. In the context of the video, this application can automatically link related ideas, answer questions about the notes, and provide semantic search capabilities, enhancing the user's note-taking experience. The application mentioned is called 'reor', which is designed to operate locally, ensuring data privacy and security.

💡Local storage

Local storage refers to the storage of data on a user's personal device, such as a computer or smartphone, rather than on a remote server or cloud platform. This approach is often preferred for its privacy benefits, as it keeps sensitive information from being transmitted or stored online. In the video, the AI note-taking application stores all user data locally, which means that users do not have to worry about privacy issues related to cloud storage services.

💡Markdown editor

A Markdown editor is a type of text editor that is specifically designed to work with Markdown, a lightweight markup language that allows people to write using an easy-to-read and easy-to-write plain text format. These editors typically provide features that help users format text, create lists, add links, and more, without the need for complex syntax. In the video, the note-taking application uses a Markdown editor similar to Obsidian, which is known for its powerful features and flexibility.

💡Semantic search

Semantic search is a type of search technology that focuses on understanding the meaning and intent behind a user's query, rather than just matching keywords. This allows for more accurate and relevant search results, as the system can identify the context and relationships between different pieces of information. In the context of the video, the AI note-taking application provides semantic search capabilities, enabling users to find information based on the concepts and ideas within their notes, not just specific words or phrases.

💡Self-organizing

Self-organizing refers to the ability of a system or structure to arrange itself into an orderly pattern based on its internal dynamics and interactions. In the context of the video, the AI note-taking application is described as self-organizing, meaning it can automatically connect and categorize related notes based on their content and context, without requiring manual organization from the user. This feature enhances the user experience by making it easier to manage and navigate large amounts of information.

💡Large language model

A large language model is a type of artificial intelligence model that processes and generates human-like text based on the data it has been trained on. These models are capable of understanding and predicting language structures, making them useful for tasks such as text generation, translation, and question-answering. In the video, the AI note-taking application employs a large language model to answer questions about the notes and to facilitate the semantic search functionality.

💡RAG

RAG, or Retrieval-Augmented Generation, is a machine learning technique that combines the strengths of retrieval-based and generation-based methods to improve the quality of AI-generated text. It works by first retrieving relevant information from a corpus of data and then using that information to generate responses. In the context of the video, RAG is utilized by the AI note-taking application to access context from the notes corpus and provide relevant answers to user queries.

💡Patreon

Patreon is a platform that allows creators to receive financial support from their fans or patrons on a subscription basis. This model enables creators to offer exclusive content, early access, and other benefits to their supporters. In the video, the creator mentions Patreon as a way for viewers to gain access to AI tool subscriptions, networking opportunities, and other resources related to AI and note-taking.

💡Open-source model

An open-source model refers to a software model that is freely available for use, modification, and distribution. These models are typically created by the community and can be integrated into various applications, providing flexibility and customization options. In the video, the AI note-taking application supports the integration of open-source models, allowing users to enhance the application's functionality with their preferred models.

💡Data privacy

Data privacy refers to the protection of personal and sensitive information from unauthorized access, use, or disclosure. It is a critical concern in the digital age, where data can be easily collected and processed. In the context of the video, data privacy is emphasized as a key feature of the AI note-taking application, with all data being stored locally, ensuring that users have control over their information and it remains secure.

💡Personal data

Personal data refers to any information that can be used to identify, locate, or contact an individual. This can include a wide range of data types, from basic identifiers like name and address to more sensitive information like financial records or online behavior. In the video, personal data is mentioned in the context of the AI note-taking application's ability to organize and manage an individual's personal data effectively, while also ensuring its privacy and security.

Highlights

Project Reor is a new AI-powered desktop note-taking application.

Reor can automatically link related ideas and answer questions on your notes.

The application provides semantic search capabilities for your notes.

All data is stored locally, ensuring privacy and security.

Notes can be edited with a markdown editor similar to Obsidian.

Reor supports running any model locally for enhanced functionality.

The app uses technologies like LLaMA, CPP, Transformers.js, and Lance database.

Reor focuses on running embedding models locally and supports connections to OpenAI and compatible APIs.

The system breaks down notes into smaller parts and transforms them into numerical representations to establish connections.

Reor employs a large language model for question answering using the RAG technique.

The app facilitates semantic search, allowing users to search for information based on meaning rather than just keywords.

Reor is a hybrid system that leverages both computational and human input to augment users' thoughts.

Users can download Reor through their website for Windows, Mac, and Linux.

Reor allows importing notes from other apps, making it easy to integrate with existing note-taking solutions.

Building Reor from the source requires Python and Git, and offers a detailed demonstration for setup.

The app enables users to connect to OpenAI by inputting an API key and select from a list of models.

Reor offers customization options, including changing the large language model and adjusting embedding models.

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