RAG CLI

RAG CLI is a command-line tool that helps users organize and search through their personal documents. It works by reading files like text, PDFs, and markdown notes, breaking them into small pieces, and storing them in a special database. This allows users to ask questions about their documents and get accurate answers without needing to read every single file manually. The tool runs entirely on your computer, which means your data stays private and you do not need to sign up for any external services or worry about sending your documents to the cloud.

Benefits

The main advantage of RAG CLI is that it keeps your information safe by processing everything locally on your device. It supports multiple file formats including text, PDFs, and markdown files so you can use it with any type of personal note. The tool uses smart search technology to find relevant information quickly even when your documents are very long. It also updates automatically when you add new files or change existing ones so your search results always stay current. Users can ask questions directly through the command line and receive answers generated by a local artificial intelligence model. This setup eliminates the need for expensive API keys or monthly subscriptions to cloud services.

Use Cases

This tool is perfect for students who want to study from their lecture notes or researchers who need to find specific details in large reports. Writers can use it to quickly search through their drafts to find references or ideas they previously wrote down. Developers might use it to maintain a personal knowledge base of project documentation or code examples. Anyone who manages a lot of text files can benefit from having a fast way to retrieve information without opening every document. It works well on any computer that has Node.js installed and can run on both Windows and Mac systems.

Pricing

The project is open source and released under the MIT license. This means it is free to download and use without any cost. There are no hidden fees or subscription plans required to access the basic features of the tool.

Vibes

Users appreciate the tool for its simplicity and privacy focus. The ability to run everything locally is a major plus for people who value data security. The community around this project is active and helpful, with clear documentation and examples available on the GitHub repository. Many users find the command-line interface intuitive once they get used to it. The tool is often praised for being a lightweight solution that does not require complex setup or expensive hardware.

Additional Information

The project was created by Satoshi Man and is hosted on GitHub. It relies on open-source libraries for its core functions such as embedding generation and text processing. The team uses a local model called all-MiniLM-L6-v2 to create the data representations for text. For generating answers, the tool connects to a local version of the Ollama artificial intelligence service. The code is written in TypeScript and includes extensive tests to ensure reliability. The project is actively maintained and welcomes contributions from the community.