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If you use RAGFlow by InfiniFlow to answer questions from your documents, everything it knows lives in its storage backend. By default, if you use MiniIO, RAGFlow re-reads your corpus every time you tune it.

When you change your chunking or swap embedding models, every document gets pulled from storage again. If you point RAGFlow at a Tigris bucket - you can re-process your corpus for free, all the time. Setup Guide: www.tigrisdata.com/docs/guides/...

tigrisdata.comRAGFlow on Tigris | Tigris Object Storage DocumentationUse Tigris as RAGFlow's storage backend: replace the bundled MinIO container with globally distributed, zero-egress-fee object storage for your knowledge base. Full config, single-bucket mode, and sna...

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