Weaviate deployment

Instruction

1. Prepare .env file with proper user names and API tokens

   cp example.env .env
   

2. Run containers through docker-compose

   docker compose up -d
   

Remarks

• Persistent data will be stored inside mounted ./weaviate_data path
• Deployment was tested on machine with 16 CPU, 64GB memory, and without GPU (vectors were computed outside weaviate instance, t2v-transformers used only for inference)
• see scripts/embed/weaviate_example.py to see search example usage