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142 lines
5.4 KiB
Markdown
142 lines
5.4 KiB
Markdown
# Quivr - Your Second Brain, Empowered by Generative AI
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<div align="center">
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<img src="./logo.png" alt="Quivr-logo" width="30%" style="border-radius: 50%; padding-bottom: 20px"/>
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</div>
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<div align="center">
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<a href="https://discord.gg/HUpRgp2HG8">
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<img src="https://img.shields.io/badge/discord-join%20chat-blue.svg" alt="Join our Discord" height="40">
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</a>
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</div>
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Quivr, your second brain, utilizes the power of GenerativeAI to store and retrieve unstructured information. Think of it as Obsidian, but turbocharged with AI capabilities.
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[Roadmap here](https://getquivr.notion.site/Quivr-GenerativeAI-Second-Brain-3b22a6f50ffe4d259a6f120a17bc0543)
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## Key Features 🎯
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- **Universal Data Acceptance**: Quivr can handle almost any type of data you throw at it. Text, images, code snippets, we've got you covered.
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- **Generative AI**: Quivr employs advanced AI to assist you in generating and retrieving information.
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- **Fast and Efficient**: Designed with speed and efficiency at its core. Quivr ensures rapid access to your data.
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- **Secure**: Your data, your control. Always.
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- **File Compatibility**:
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- Text
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- Markdown
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- PDF
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- Powerpoint
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- Excel
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- Word
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- Audio
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- Video
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- **Open Source**: Freedom is beautiful, so is Quivr. Open source and free to use.
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## Demo Highlights 🎥
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> **Please note: The DEMO WITH STREAMLIT IS USING AN OLD VERSION**
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> The new version showcases a fresh UI, however, it is not yet deployed as it lacks some features of the old version. Expected to go live before 25/05/23
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### **Demo with GPT3.5**:
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https://github.com/StanGirard/quivr/assets/19614572/80721777-2313-468f-b75e-09379f694653
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### **Demo with Claude 100k context**: https://github.com/StanGirard/quivr/assets/5101573/9dba918c-9032-4c8d-9eea-94336d2c8bd4
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### **Demo of the new version (Work in progress)**:
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https://github.com/StanGirard/quivr/assets/19614572/a6463b73-76c7-4bc0-978d-70562dca71f5
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## Getting Started: New Version 🚀
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Follow these instructions to get a copy of the project up and running on your local machine for development and testing purposes.
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**Old version's readme** is located in the streamlit-demo folder [here](streamlit-demo/README.md)
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### Prerequisites 📋
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Before you proceed, ensure you have the following installed:
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- Docker
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- Docker Compose
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Additionally, you'll need a [Supabase](https://supabase.com/) account for:
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- Creating a new Supabase project
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- Supabase Project API key
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- Supabase Project URL
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### Installation Steps 💽
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- **Step 0**: If needed, here is the installation explained on Youtube [here](https://youtu.be/rC-s4QdfY80)
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- **Step 1**: Clone the repository using **one** of these commands:
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- If you don't have an SSH key set up:
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```bash
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git clone https://github.com/StanGirard/Quivr.git && cd Quivr
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```
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- If you have an SSH key set up or want to add it ([guide here](https://docs.github.com/en/authentication/connecting-to-github-with-ssh/adding-a-new-ssh-key-to-your-github-account))
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```bash
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git clone git@github.com:StanGirard/Quivr.git && cd Quivr
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```
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- **Step 2**: Copy the `.XXXXX_env` files
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```bash
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cp .backend_env.example backend/.env
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cp .frontend_env.example frontend/.env
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```
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- **Step 3**: Update the `backend/.env` and `frontend/.env` file
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> _Your `supabase_service_key` can be found in your Supabase dashboard under Project Settings -> API. Use the `anon` `public` key found in the `Project API keys` section._
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> _Your `JWT_SECRET_KEY`can be found in your supabase settings under Project Settings -> API -> JWT Settings -> JWT Secret_
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> _To activate vertexAI with PaLM from GCP follow the instructions [here](https://python.langchain.com/en/latest/modules/models/llms/integrations/google_vertex_ai_palm.html) and update `bacend/.env`- It is an advanced feature, please be expert in GCP before trying to use it_
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- [ ] Change variables in `backend/.env`
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- [ ] Change variables in `frontend/.env`
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- **Step 4**: Run the following migration scripts on the Supabase database via the web interface (SQL Editor -> `New query`)
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[Creation Script 1](scripts/tables.sql)
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> _If you come from an old version of Quivr, you can use the [migration script](scripts/20230606131110_add_uuid_user_id.sql) to migrate your data to the new version_
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- **Step 5**: Launch the app
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```bash
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docker compose -f docker-compose.yml up --build
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```
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- **Step 6**: Navigate to `localhost:3000` in your browser
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- ** Step 7**: Want to contribute to the project?
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```
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docker compose -f docker-compose.dev.yml up --build
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```
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## Contributors ✨
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Thanks goes to these wonderful people:
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<a href="https://github.com/stangirard/quivr/graphs/contributors">
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<img src="https://contrib.rocks/image?repo=stangirard/quivr" />
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</a>
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## Contribute 🤝
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Got 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!
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- [Roadmap](https://github.com/users/StanGirard/projects/5)
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- [Open Issues](https://github.com/StanGirard/quivr/issues)
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- [Open Pull Requests](https://github.com/StanGirard/quivr/pulls)
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- [Good First Issues](https://github.com/StanGirard/quivr/issues?q=is%3Aopen+is%3Aissue+label%3A%22good+first+issue%22)
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- [Frontend Issues](https://github.com/StanGirard/quivr/issues?q=is%3Aopen+is%3Aissue+label%3Afrontend)
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- [Backend Issues](https://github.com/StanGirard/quivr/issues?q=is%3Aopen+is%3Aissue+label%3Abackend)
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