* feat: streaming for standard brain picking * fix(bug): private llm * wip: test Co-authored-by: Mamadou DICKO <mamadoudicko@users.noreply.github.com> * wip: almost good Co-authored-by: Mamadou DICKO <mamadoudicko@users.noreply.github.com> * feat: useFetch * chore: remove 💀 * chore: fix linting * fix: forward the request if not streaming * feat: streaming for standard brain picking * fix(bug): private llm * wip: test Co-authored-by: Mamadou DICKO <mamadoudicko@users.noreply.github.com> * wip: almost good Co-authored-by: Mamadou DICKO <mamadoudicko@users.noreply.github.com> * feat: useFetch * chore: remove 💀 * chore: fix linting * fix: forward the request if not streaming * fix: 💀 code * fix: check_user_limit * feat: brain_id to new chat stream * fix: missing imports * feat: message_id created on backend Co-authored-by: Mamadou DICKO <mamadoudicko@users.noreply.github.com> * chore: remove dead * remove: cpython * remove: dead --------- Co-authored-by: Mamadou DICKO <mamadoudicko@users.noreply.github.com> |
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.github | ||
.vscode | ||
backend | ||
docs | ||
frontend | ||
scripts | ||
.backend_env.example | ||
.flake8 | ||
.frontend_env.example | ||
.gitignore | ||
docker-compose.dev.yml | ||
docker-compose.yml | ||
LICENSE | ||
logo.png | ||
Makefile | ||
README.md | ||
vercel.json |
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.
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
- 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:
https://github.com/StanGirard/quivr/assets/19614572/80721777-2313-468f-b75e-09379f694653
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):
https://github.com/StanGirard/quivr/assets/19614572/a6463b73-76c7-4bc0-978d-70562dca71f5
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
andfrontend/.env
file
Your
supabase_service_key
can be found in your Supabase dashboard under Project Settings -> API. Use theanon
public
key found in theProject API keys
section.
Your
JWT_SECRET_KEY
can be found in your supabase settings under Project Settings -> API -> 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
)
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!