Exploration of redis as a vector database for finding similarities. This is a follow up for https://github.com/hpunetha/weaviate-jupyter where I used weaviate for finding vector similarity. In this repo, I have configured Redis with similiar use-case, i.e to find similiar images by using vector similiarity search in redis via langchain. The vectors are computed using Resnet18

Setup Instructions

1. Install docker
2. Run docker-compose build and then docker-compose up in the root directory or use docker-compose up -d (if you want to run the process in background).
3. Open http://127.0.0.1:8888/lab on your browser and get the token (or full url with token) from the logs of notebook container by using below commands (if you ran the docker compose up without -d flag then the token will directly be visible in the terminal).
   if you used -d flag in the last step then use sudo docker ps to list the running containers and get the container id for notebook container and then use sudo docker logs <container_id>, you'll get the url and token at the bottom of logs
4. To stop the containers use docker-compose down in the same directory.