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# documentation: https://qdrant.tech/documentation/
# slogan: Qdrant is a vector similarity search engine that provides a production-ready service with a convenient API to store, search, and manage points (i.e. vectors) with an additional payload.
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# category: database
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# tags: ai, vector-database, semantic-search, machine-learning, bm25, embeddings, llm
# logo: svgs/qdrant.png
# port: 6333
services :
qdrant :
image : "qdrant/qdrant:latest"
environment :
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- SERVICE_URL_QDRANT_6333
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- QDRANT__SERVICE__API_KEY=${SERVICE_PASSWORD_QDRANTAPIKEY}
volumes :
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- "qdrant-storage:/qdrant/storage"
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healthcheck :
test :
- CMD-SHELL
- bash -c ':> /dev/tcp/127.0.0.1/6333' || exit 1
interval : 5s
timeout : 5s
retries : 3