Updated April 29, 2026
RAGFlow is Infiniflow's open-source RAG engine that fuses retrieval with agent capabilities. 78.3K+ GitHub stars. Deep document understanding (tables, images, multi-language), hybrid search (vector + BM25 + custom scoring + re-ranking), citation-backed answers, and visual workflow builder. April 2026 release added prebuilt ingestion pipelines, sandbox code execution, and chart generation.
Unstructured is the leading data-ingestion platform for RAG and AI apps, converting 65+ file formats (PDFs, DOCX, HTML, images, emails) into clean structured outputs ready for LLMs. Free open-source library plus a hosted Serverless API and Enterprise Platform with no-code UI, RBAC, SOC 2/HIPAA/GDPR support.
Core capabilities each platform advertises.
What each tool does well, and the limitations to keep in mind.
Pros
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Pros
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RAGFlow's parsing engine uses deep learning to understand document structure — recognizing tables, extracting text from images via OCR, preserving formatting.
Read full reviewThe no-code Platform and connector ecosystem allow this product to scale easily in an enterprise environment.
Read full reviewChoose RAGFlow if you wantChoose if you want
Choose Unstructured if you wantChoose if you want
Respan lets you trace LLM and agent calls across any model or framework, A/B test prompts on production traffic, and route requests across 500+ models through one gateway.