README.md

Demo: swedenmentor.github.io

Frontend repo: Link

Roadmap

• Pinecone-GPT3: ChatGPT API for LLM, Pinecone for Vector DB
• Weaviate-Llamma2: self-hosted Llama 2 for LLM, self-hosted Weaviate for Vector DB

Testing on local machines

Set up environments

conda create --name rag python=3.10 -y
conda activate rag
sudo apt-get install python3-pip
pip install -r requirements.txt

Rename .env.example to .env and provide the corresponding API keys.

Create database

sh build_knowledge.sh

Run server API

sh serve.sh

The server runs at localhost:8000. From browser, go to localhost:8000/q, you should see It is working.

Production deployment

Replace the following occurences of _SITE_ with the intended domain.

DNS

Point api._SITE_ to server IP. Open port 8000 for TCP requests.

Install SSL certificate for api._SITE_

sudo apt install nginx
sudo apt install certbot python3-certbot-nginx
sudo certbot --nginx -d api._SITE_
sudo certbot renew --dry-run
cp /etc/letsencrypt/live/api._SITE_/fullchain.pem cert.pem
cp /etc/letsencrypt/live/api._SITE_/privkey.pem key.pem

The frontend server should also have SSL certificate.

Set up environments

sudo apt install software-properties-common -y
sudo add-apt-repository ppa:deadsnakes/ppa
sudo apt update
sudo apt install python3.10
sudo apt install python3-pip
pip install -r requirements.txt

Create database

sh build_knowledge.sh

Run server API

sh serve.sh