42 lines
1.9 KiB
YAML
42 lines
1.9 KiB
YAML
services:
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open-webui:
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# The TAG decides what is inside the image — full comparison in README.md.
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# main / latest WebUI only, CPU. Models live elsewhere. (default)
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# cuda + CUDA runtime for RAG embeddings and STT
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# ollama + Ollama bundled in the same container
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# v0.11.0 a frozen release; main/latest are rolling
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image: ghcr.io/open-webui/open-webui:${OWUI_TAG:-main}
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container_name: open-webui
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restart: unless-stopped
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environment:
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- TZ=${TZ:-Etc/UTC}
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# Where the models are. Leave commented to pick it in the UI instead.
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# Ollama on the Docker host -> http://host.docker.internal:11434
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# Ollama in another container -> http://ollama:11434
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# Ollama on a Mac / another box -> http://<its-ip>:11434
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# OWUI_TAG=ollama (bundled) -> leave unset, it is already local
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#- OLLAMA_BASE_URL=${OLLAMA_BASE_URL}
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# Session signing key. Generated into the data dir when unset — set it
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# explicitly if you ever move the data to another host.
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#- WEBUI_SECRET_KEY=${WEBUI_SECRET_KEY}
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volumes:
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- ${DATA_PATH:-./open-webui}:/app/backend/data
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# ONLY with OWUI_TAG=ollama — where pulled models are stored. Expect tens
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# of GB. Leave commented for every other tag.
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#- ${OLLAMA_PATH:-./ollama}:/root/.ollama
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ports:
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- "${PORT:-3033}:8080"
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# Lets the container reach an Ollama running on the Docker host.
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extra_hosts:
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- host.docker.internal:host-gateway
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# ─── NVIDIA GPU ──────────────────────────────────────────────────────
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# Uncomment with OWUI_TAG=cuda or OWUI_TAG=ollama on an NVIDIA host.
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# Needs the NVIDIA Container Toolkit installed. Does nothing on Apple
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# silicon — Docker cannot reach the GPU there at all. See the README.
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#gpus: all
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