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RAGFlow uses specialized table detection and parsing that preserves row/column structure. Tables are indexed as structured data rather than flattened text, enabling accurate retrieval of tabular information.
Yes, RAGFlow supports OpenAI, Azure OpenAI, local models via Ollama, and any OpenAI-compatible API endpoint.
RAGFlow supports Elasticsearch and Infinity as vector backends, with the architecture designed for pluggable storage.
Yes, RAGFlow is designed for production with multi-tenancy, API access, conversation management, and citation tracking. Several enterprises use it in regulated industries.
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Last verified March 2026