# Quivr - Your Second Brain, Empowered by Generative AI
Quivr-logo
[![Discord Follow](https://dcbadge.vercel.app/api/server/HUpRgp2HG8?style=flat)](https://discord.gg/HUpRgp2HG8) [![GitHub Repo stars](https://img.shields.io/github/stars/quivrhq/quivr?style=social)](https://github.com/quivrhq/quivr) [![Twitter Follow](https://img.shields.io/twitter/follow/StanGirard?style=social)](https://twitter.com/_StanGirard) Quivr, helps you build your second brain, utilizes the power of GenerativeAI to be your personal assistant ! ## Key Features 🎯 - **Opiniated RAG**: We created a RAG that is opinionated, fast and efficient so you can focus on your product - **LLMs**: Quivr works with any LLM, you can use it with OpenAI, Anthropic, Mistral, Gemma, etc. - **Any File**: Quivr works with any file, you can use it with PDF, TXT, Markdown, etc and even add your own parsers. - **Customize your RAG**: Quivr allows you to customize your RAG, add internet search, add tools, etc. - **Integrations with Megaparse**: Quivr works with [Megaparse](https://github.com/quivrhq/megaparse), so you can ingest your files with Megaparse and use the RAG with Quivr. >We take care of the RAG so you can focus on your product. Simply install quivr-core and add it to your project. You can now ingest your files and ask questions.* **We will be improving the RAG and adding more features, stay tuned!** This is the core of Quivr, the brain of Quivr.com. ## Getting Started 🚀 You can find everything on the [documentation](https://core.quivr.app/). ### Prerequisites 📋 Ensure you have the following installed: - Python 3.10 or newer ### 30 seconds Installation 💽 - **Step 1**: Install the package ```bash pip install quivr-core # Check that the installation worked ``` - **Step 2**: Create a RAG with 5 lines of code ```python import tempfile from quivr_core import Brain if __name__ == "__main__": with tempfile.NamedTemporaryFile(mode="w", suffix=".txt") as temp_file: temp_file.write("Gold is a liquid of blue-like colour.") temp_file.flush() brain = Brain.from_files( name="test_brain", file_paths=[temp_file.name], ) answer = brain.ask( "what is gold? asnwer in french" ) print("answer:", answer) ``` ## Examples | Name | Description | | --------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------- | | [Simple Question](./examples/simple_question) | Ask a simple question to the RAG by ingesting a single file | | [ChatBot](./examples/chatbot) | Build a chatbot by ingesting a folder of files with a nice UI powered by [Chainlit](https://github.com/Chainlit/chainlit) | ## Go further You can go further with Quivr by adding internet search, adding tools, etc. Check the [documentation](https://core.quivr.com/) for more information. ## Contributors ✨ Thanks go to these wonderful people: ## Contribute 🤝 Did you get a pull request? Open it, and we'll review it as soon as possible. Check out our project board [here](https://github.com/users/StanGirard/projects/5) to see what we're currently focused on, and feel free to bring your fresh ideas to the table! - [Open Issues](https://github.com/quivrhq/quivr/issues) - [Open Pull Requests](https://github.com/quivrhq/quivr/pulls) - [Good First Issues](https://github.com/quivrhq/quivr/issues?q=is%3Aopen+is%3Aissue+label%3A%22good+first+issue%22) ## Partners ❤️ This project would not be possible without the support of our partners. Thank you for your support! YCombinator Theodo ## License 📄 This project is licensed under the Apache 2.0 License - see the [LICENSE](LICENSE) file for details