Quivr - Your Second Brain, Empowered by Generative AI

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.

Roadmap here

Key Features 🎯

Universal Data Acceptance: Quivr can handle almost any type of data you throw at it. Text, images, code snippets, we've got you covered.
Generative AI: Quivr employs advanced AI to assist you in generating and retrieving information.
Fast and Efficient: Designed with speed and efficiency at its core. Quivr ensures rapid access to your data.
Secure: Your data, your control. Always.
File Compatibility:
- Text
- Markdown
- PDF
- Powerpoint
- Excel
- Word
- Audio
- Video
Open Source: Freedom is beautiful, so is Quivr. Open source and free to use.

Demo Highlights 🎥

Please note: The DEMO WITH STREAMLIT IS USING AN OLD VERSION
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

Demo with GPT3.5:

quiver-16.05.mp4

Demo with Claude 100k context: https://github.com/StanGirard/quivr/assets/5101573/9dba918c-9032-4c8d-9eea-94336d2c8bd4

Demo of the new version (Work in progress):

quivr-demo-new.mp4

Getting Started: New Version 🚀

Follow these instructions to get a copy of the project up and running on your local machine for development and testing purposes.

Old version's readme is located in the streamlit-demo folder here

Prerequisites 📋

Before you proceed, ensure you have the following installed:

Docker
Docker Compose

Additionally, you'll need a Supabase account for:

Creating a new Supabase project
Supabase Project API key
Supabase Project URL

Installation Steps 💽

Step 0: If needed, here is the installation explained on Youtube here
Step 1: Clone the repository using one of these commands:
- If you don't have an SSH key set up:
```
git clone https://github.com/StanGirard/Quivr.git && cd Quivr
```
- If you have an SSH key set up or want to add it (guide here)
```
git clone git@github.com:StanGirard/Quivr.git && cd Quivr
```
Step 2: Copy the .XXXXX_env files

cp .backend_env.example backend/.env
cp .frontend_env.example frontend/.env

Step 3: Update the backend/.env and frontend/.env file

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.

Your JWT_SECRET_KEYcan be found in your supabase settings under Project Settings -> JWT Settings -> JWT Secret

To activate vertexAI with PaLM from GCP follow the instructions here and update bacend/.env- It is an advanced feature, please be expert in GCP before trying to use it

Change variables in backend/.env
Change variables in frontend/.env
Step 4: Run the following migration scripts on the Supabase database via the web interface (SQL Editor -> New query)

Creation Script 1

If you come from an old version of Quivr, you can use the migration script to migrate your data to the new version

Step 5: Launch the app

docker compose -f docker-compose.yml up --build

Step 6: Navigate to localhost:3000 in your browser
** Step 7**: Want to contribute to the project?

docker compose -f docker-compose.dev.yml up --build

Contributors ✨

Thanks goes to these wonderful people:

Contribute 🤝

Got a pull request? Open it, and we'll review it as soon as possible. Check out our project board here to see what we're currently focused on, and feel free to bring your fresh ideas to the table!

wpfhrla/quivr