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Compare RAGFlow with top alternatives in the ai memory & search category. Find detailed side-by-side comparisons to help you choose the best tool for your needs.
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💡 Pro tip: Most tools offer free trials or free tiers. Test 2-3 options side-by-side to see which fits your workflow best.
Yes. The GitHub repository lists RAGFlow under the Apache-2.0 license. The product also offers a hosted cloud service with Free, Starter, Pro, and Enterprise tiers.
RAGFlow states support for Word documents, slides, spreadsheets, text files, images, scanned copies, structured data, web pages, and other heterogeneous sources. Its website also describes a built-in ingestion pipeline for cleansing and processing multi-format data.
No. The website describes high-precision hybrid search that combines vector search, BM25, custom scoring, and advanced reranking. The README also mentions multiple recall paired with fused reranking.
Yes. The README provides Docker Compose and source-development instructions. Documented self-hosting prerequisites include at least 4 CPU cores, 16 GB RAM, 50 GB disk, Docker 24.0.0 or later, Docker Compose v2.26.1 or later, and Python 3.13.
Yes. RAGFlow describes unified AI agent orchestration with RAG, tools, MCPs, visual workflows, web search, chat, models, retrieval, and datasets. Recent listed updates include agentic workflow and MCP, agent memory, and a Python/JavaScript code executor component.
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