Master RAGFlow with our step-by-step tutorial, detailed feature walkthrough, and expert tips.
Explore the key features that make RAGFlow powerful for multi-agent systems workflows.
Parses PDFs, Word docs, and more with structure-aware chunking that preserves tables, headers, figures, and hierarchical relationships.
Processing financial reports where table data and section context must be preserved for accurate retrieval.
Web UI showing exactly how each document was chunked, with the ability to manually adjust boundaries and verify parsing quality.
Quality-checking document parsing before deploying a knowledge base to production users.
Every generated answer includes links to specific source chunks, enabling users to verify claims against original documents.
Building a compliance knowledge assistant where every answer must be traceable to source policy documents.
Maintains conversation context across multiple exchanges, enabling follow-up questions and clarification without losing thread.
Creating a customer-facing knowledge assistant that handles complex multi-step inquiries.
Specialized parsing for complex tables that maintains row/column relationships during indexing and retrieval.
Querying data from annual reports, spec sheets, or compliance matrices embedded in PDF documents.
Built-in tenant isolation enabling multiple teams or clients to have separate knowledge bases within one deployment.
Deploying a shared RAG platform across departments with isolated data access controls.
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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Tutorial updated March 2026