{"slug":"ragflow","name":"RAGFlow","domain":"ragflow.io","verdict":"As of 2026-07-15, ChatGPT, Claude, Gemini collectively rank RAGFlow #4 of 8 for rag framework. Source: https://modelsagree.com/product/ragflow (modelsagree.com, CC BY 4.0).","best_rank":4,"categories":1,"entries":[{"slug":"best-rag-framework","title":"Best RAG framework","rank":4,"of":8,"score":5,"appearances":3,"modelRanks":{"ChatGPT":4,"Claude":4,"Gemini":5},"reason":"A strong batteries-included choice for document-heavy RAG, combining structure-aware parsing, configurable chunking, hybrid retrieval, reranking, citations, a usable interface, and self-hosting","reasons":[{"model":"ChatGPT","reason":"A strong batteries-included choice for document-heavy RAG, combining structure-aware parsing, configurable chunking, hybrid retrieval, reranking, citations, a usable interface, and self-hosting"},{"model":"Claude","reason":"The strongest turnkey open-source RAG engine — deep document understanding (layout-aware OCR, table extraction), built-in GraphRAG, citation grounding, and a full UI, so a team gets a working self-hosted RAG product in hours instead of weeks; assumes the practitioner wants a deployable system more than an embeddable library."},{"model":"Gemini","reason":"It is a specialized open-source RAG engine focused entirely on solving the document-parsing bottleneck, using deep learning to accurately extract text and tables from complex PDF layouts."}],"fixes":[{"model":"ChatGPT","fix":"Operationally heavier and less convenient as an embeddable application library than the top three"},{"model":"Claude","fix":"It's a product, not a composable library — customizing retrieval logic beyond its knobs is harder than with LlamaIndex/Haystack, and it drags in heavier infrastructure (Docker stack) even for small corpora."},{"model":"Gemini","fix":"It requires a heavy infrastructure stack (Elasticsearch, MySQL, MinIO, Redis) to run, making it operationally complex to deploy and maintain for smaller projects."}],"updated":"2026-07-15","rank_history":{"days":["2026-06-29","2026-06-30","2026-07-08","2026-07-09","2026-07-10","2026-07-12","2026-07-13","2026-07-14","2026-07-15"],"ranks":[4,6,5,5,4,5,4,4,4]},"reasoning_shift":[{"model":"ChatGPT","from":"2026-07-14","to":"2026-07-15","added":[{"t":"Configurable chunking","q":"configurable chunking"},{"t":"Reranking","q":"reranking"},{"t":"Self-hosting","q":"self-hosting"}],"dropped":[{"t":"Visual workflow construction","q":"visual workflow construction"},{"t":"Administration","q":"administration"},{"t":"Stronger architectural opinions","q":"stronger architectural opinions"}]},{"model":"Claude","from":"2026-07-14","to":"2026-07-15","added":[{"t":"Built-in GraphRAG","q":"built-in GraphRAG"},{"t":"Heavier Docker infrastructure","q":"heavier infrastructure (Docker stack) even for small corpora"}],"dropped":[{"t":"Template-based chunking","q":"template-based chunking"}]}],"api":"https://modelsagree.com/api/v1/best/best-rag-framework.json"}],"page":"https://modelsagree.com/product/ragflow","check":"https://modelsagree.com/check?q=RAGFlow","updated":"2026-08-10T18:18:45.051Z","attribution":"modelsagree.com, CC BY 4.0"}