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You can try slim version docker image. RAGFlow slim Docker images do not include embedding models or Python libraries and hence are approximately 1GB in size. Update docker/.env file: RAGFLOW_IMAGE=infiniflow/ragflow:dev-slim, then run |
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its almost 9GB+ image file and when running in unrestricted mode, takes alot of ram plus i see random cpu spikes so is it possible to create lite variant of it which is working without compromises ?
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