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docker-compose.yml
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docker-compose.yml
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version: "3"
services:
libre-chat:
# depends_on: [qdrant]
build: .
# image: ghcr.io/vemonet/libre-chat:main
volumes:
- ./config/chat-vectorstore-qa.yml:/data/chat.yml
# - ./chat.yml:/data/chat.yml
- ./data/models:/data/models
- ./data/documents:/data/documents
- ./data/embeddings:/data/embeddings
- ./data/vectorstore:/data/vectorstore
# - ./data:/data # Or directly share the data directory with chat.yml, and folders for models, vectorstore, etc
shm_size: '16g'
# ports:
# - 8000:8000
# entrypoint: uvicorn scripts.main:app
deploy: # Enable GPU in the container
resources:
reservations:
devices:
- driver: nvidia
count: 3
capabilities: [gpu]
environment:
- LIBRECHAT_WORKERS=1
# For deployment with nginx-proxy https://github.com/nginx-proxy/nginx-proxy
- VIRTUAL_HOST=chat.semanticscience.org
- LETSENCRYPT_HOST=chat.semanticscience.org
- VIRTUAL_PORT=8000
# - CUDA_VISIBLE_DEVICES=0 # Limit which GPU is made available
# Configuring proxy manually is required to access internet within UM network
- HTTP_PROXY=http://proxy.unimaas.nl:3128
- HTTPS_PROXY=http://proxy.unimaas.nl:3128
- http_proxy=http://proxy.unimaas.nl:3128
- https_proxy=http://proxy.unimaas.nl:3128
- NO_PROXY=127.0.0.1,localhost,137.120.0.0/16,qdrant
# Containers deployed publicly need to be on the nginx network
networks:
- nginx
# qdrant:
# # https://hub.docker.com/r/qdrant/qdrant/tags
# image: qdrant/qdrant:v1.5.1
# restart: unless-stopped
# volumes:
# - ./data/vectorstore/qdrant:/qdrant/storage
# # - ./scripts/qdrant_config.yml:/qdrant/config/production.yaml
# environment:
# - QDRANT_ALLOW_RECOVERY_MODE=true
# # - VIRTUAL_HOST=qdrant.137.120.31.148.nip.io
# # - LETSENCRYPT_HOST=qdrant.137.120.31.148.nip.io
# # - VIRTUAL_PORT=6333
# # ports:
# # - 6333:6333
# # command:
# # - ./qdrant --config-path /qdrant/qdrant_config.yml
# networks:
# - nginx
# Also required to deploy containers publicly
networks:
nginx:
name: nginx
external: true