RAGVault

Want to keep your passwords and private data secure in a local vector database, and query it all with a simple command? RAGVault is the tool for you.

How to Use

1. Install RAGVault globally:

   npm i -g ragvault

   NOTE: Please use npm for installation. While other package managers like pnpm or bun might work, ragvault is only tested and verified with npm.

2. Ensure Docker is running: RAGVault automatically starts the required ChromaDB database in the background, but you need to have Docker running on your system.

3. Run the application: Once installed, you can run it from anywhere in your terminal.

   ragvault

Features

• Secure Local Storage: Saves your data in a local ChromaDB vector database.
• Persistent Sessions: Keeps your user session stored in a local session.json file.
• Conversation History: Remembers your past conversations for context, including follow-up questions for both local and remote LLMs.
• Flexible LLM Options:
  • Local LLM: A lightweight option that runs directly on your machine, perfect for lower-end PCs.
  • Remote LLMs: Integrate with powerful models from OpenAI, Anthropic (Claude), and Google (Gemini) using your own API keys for more advanced answers.
• Data Import/Export: Add data to your local brain directly from .pdf, .txt, and .md files, and export your data when needed.

What's Next?

Here are some features currently under development:

• Support for more embedding models from various AI providers.