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Tech riderRev. 29 Sept 2026

RAGFlow

Ch 047.3of 26 Retrieval-Augmented Generation Tools
  1. 1Runs onAPI, Linux, Mac, self-hosted, Web
  2. 2CostsFree plan · paid from $29/mo
  3. 3Source citationsYes
  4. 4Hybrid searchYes
  5. 5Result rerankingYes
  6. 6Deploymentboth
  7. 7RAG workflow builderYes
7 lines stated Written from the maker's own pages: ragflow.io
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The RAGFlow homepage

Overview

RAGFlow is ranked #4 of 26 in retrieval-augmented generation tools on Specifiction. It runs on API, Linux, macOS, Self-hosted, Web. There is a free plan. Paid plans start at $29/mo.

RAGFlow plans and pricing

All plans
Free Free 5 Apps · 1 team members · 0.1 GB dataset storage · 500 credits / month · API key not available ragflow.io · 29 Sept 2026
Starter $29/mo 50 Apps · 5 team members · 5 GB dataset storage · 5,000 credits / month · API key available ragflow.io · 29 Sept 2026
Pro $129/mo Unlimited Apps · 20 team members · 50 GB dataset storage · 20,000 credits / month · API key available ragflow.io · 29 Sept 2026
Enterprise Not published BYOC deployment · On-premises deployment · Dedicated support · Custom SLA ragflow.io · 29 Sept 2026

Compared on retrieval-augmented generation tools

Free plan
Yesragflow.io
Paid from
$29/moragflow.io
Source citations
Yesragflow.io
Hybrid search
Yesragflow.io
Result reranking
Yesragflow.io
Deployment
bothragflow.io
RAG workflow builder
Yesragflow.io

Facts

Purpose
RAGFlow describes itself as an open-source RAG engine and integrated agent platform for building a context layer for AI agents.ragflow.io · 29 Sept 2026
Data processing
Its built-in ingestion pipeline cleanses and processes multi-format data into semantic representations for retrieval.ragflow.io · 29 Sept 2026
Search
Its search combines vector search, BM25, custom scoring, and advanced re-ranking.ragflow.io · 29 Sept 2026
Agent workflows
Its visual workflows integrate RAG, tools, and MCPs for agent orchestration.ragflow.io · 29 Sept 2026
Model support
RAGFlow lets users connect online, local, and OpenAI-compatible model providers for knowledge bases, chats, search, and agents.ragflow.io · 29 Sept 2026
External tools
Agents can connect to external MCP servers over Streamable HTTP or SSE; stdio servers require a gateway or another service exposing a supported endpoint.ragflow.io · 29 Sept 2026
Data connectors
Documented data sources include Notion, Google Drive, S3, Microsoft Teams, REST API, and Sitemap.ragflow.io · 29 Sept 2026
API and embedding
RAGFlow provides HTTP and Python APIs and supports embedding a Chat assistant in a third-party webpage with an iframe.ragflow.io · 29 Sept 2026
Self-hosting
The documentation describes Docker deployment and a browser-accessible service, and gives a minimum build requirement of 4 CPU cores, 16 GB RAM, and 50 GB disk.ragflow.io · 29 Sept 2026
Platform caveat
RAGFlow says it tests ARM64 platforms but does not maintain RAGFlow Docker images for ARM; users can build an image themselves on linux/arm64 or darwin/arm64.ragflow.io · 29 Sept 2026
Security
By default, RAGFlow validates MCP server URLs and rejects hosts that resolve to loopback, private, link-local, reserved, or other non-public addresses.ragflow.io · 29 Sept 2026
Privacy roles
RAGFlow says it typically acts as a controller for personal data it collects for its own purposes and as a processor or service provider for customer data uploaded to its cloud services.ragflow.io · 29 Sept 2026
Enterprise support
The Enterprise plan lists dedicated support and a custom SLA.ragflow.io · 29 Sept 2026
Intended users
The site describes the platform as built for enterprise and lists solutions for financial services, legal and compliance, manufacturing, and education.ragflow.io · 29 Sept 2026

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Where it ranks on Specifiction

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