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| README.md | 6 дней назад | |
Deploy Qdrant vector database for retrieval-augmented generation (RAG) in Open WebUI.
| Setting | Value |
|---|---|
| Image | qdrant/qdrant:latest |
| HTTP port | 6333 |
| gRPC port | 6334 |
| Volume | /mnt/ai_data/qdrant:/qdrant/storage |
Open WebUI is configured to use Qdrant as its vector database backend:
| Open WebUI Env Var | Value |
|---|---|
VECTOR_DB |
qdrant |
QDRANT_URI |
http://host.docker.internal:6333 |
Collections are auto-managed by Open WebUI. When a user uploads documents or enables RAG for a conversation, Open WebUI automatically creates and populates the necessary Qdrant collections. No manual collection management is required.
To back up the Qdrant data:
# Stop the container to ensure data consistency
docker stop qdrant
# Archive the data directory
tar -czf qdrant_backup_$(date +%Y%m%d).tar.gz /mnt/ai_data/qdrant
# Restart the container
docker start qdrant
ansible-playbook playbooks/site.yml --tags qdrant