- Agentic RAG: Refactored the Agentic RAG retrieval framework, significantly improving reasoning speed and benchmark performance. (#19046, #19112, #19172, #19209, #19424, #19459)
- Knowledge compilation runtime settings (#19254)
- Enforce a rate limit on the knowledge compilation pipeline (#19156)
- Knowledge graph shows total and current node counts (#19142,#19095, #19114)
- Graph search highlights the node when pressing Enter on an entity name (#19320)
- New Sitemap data source for sitemap.xml-based web ingestion (#19344)
Ragflow by InfiniFlow
Open-source retrieval-augmented generation (RAG) engine from InfiniFlow with agent features: it extracts knowledge from complex documents through deep document understanding, keeps it as a searchable knowledge base and lets you build agents on top from pre-built templates, including agentic RAG with several thinking modes. Self-host it with Docker or use the hosted RAGFlow Cloud.
Use it in: Web app Self-hosted API / SDK MCP server Works with: MCP Local models Own API key Multi-agent
Usage data: latest readings Oct 20 to Oct 21, 2026, last checked Oct 21, 06:39 UTC. Date of each number
What Ragflow does
Ragflow is a RAG engine and agent builder from InfiniFlow, first released in December 2023. You use it through web app, self-hosted, an API and MCP server. Its documentation covers MCP servers, subagents or parallel agents, your own API key and local models. It is free and open source (Apache-2.0); you pay only for the models it calls.
Key facts
| Maker | InfiniFlow |
|---|---|
| Type | RAG engine and agent builder |
| First released | December 2023 |
| License | Apache-2.0 |
| Interfaces | Web app, Self-hosted, API, MCP server |
| Main language | Go |
| Open issues and PRs | 1,342 |
Pricing
Free to self-host (Apache-2.0). RAGFlow Cloud has a Free plan (500 credits a month), paid Starter and Pro plans and Enterprise (BYOC or on-premises); see ragflow.io for current prices.
Source: official pricing page, checked Oct 11, 2026. Prices change often; confirm before you buy.
Quick answers
- Free to start?Yes
- Open source?Yes (Apache-2.0)
- Where you use itWeb app, Self-hosted, API, MCP server
- Supports MCP?Yes
- Model providersany OpenAI-compatible, local
- Subagents / multi-agent?Yes
- Feature comparisonAll agents
- Closest alternativen8n · all alternatives
AgentGid articles about Ragflow
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Ragflow alternatives
Best Ragflow alternatives compared · All agent builders and workflow automation
| # | Agent | Gid Score | Downloads 7d | 7d | 30d | Stars | Latest release | Price | |||
|---|---|---|---|---|---|---|---|---|---|---|---|
| 3 | 78 | 84.8K | down 21.8% | up 7.0% | 208K+147/day | 2.44.42d ago | Free | ||||
| 14 |
DifyLangGenius |
63 | — | — | — | 159K+112/day | 1.17.141d ago | Free + $49.17/mo | |||
| 39 |
FlowiseFlowiseAI |
50 | 2,270 | down 10.8% | down 5.7% | 55.5K+5/day | 3.1.42mo ago | Free | |||
| 41 |
|
49 | — | — | — | 67.4K+54/day | 1.18.08d ago | Free + $50/mo | |||
| 59 |
LangflowLangflow (DataStax, an IBM company) |
45 | 14.7K | down 8.3% | down 6.1% | 156K+46/day | 1.12.7today | Free (OSS) | |||
| 100 |
Coze StudioByteDance |
38 | — | — | — | 21.7K+6/day | 0.5.18mo ago | Free (OSS) | |||
| No agents match that filter. | |||||||||||
Ratings from people who use Ragflow
No ratings yet. Used Ragflow? Rate it and say what it is good and bad at.
Ragflow news
-
10 agents added to AgentGid
Paperclip, Graphify, Agent-Reach, ECC, OpenMontage, Ruflo, OmniRoute, Claude Mem, Ragflow, Openhuman
What changed: recent Ragflow releases
3 stable releases in the last 90 days · Full changelog
- New Azure DevOps connector for data sources (#18715)
- New You.com web search provider for chat and agent (#18478)
- New Serply web search provider for chat (#18475)
- New Synthorai model provider (#18830)
- Missing DeepSeek models added (#18678)
- AWS Bedrock API key authentication support (#18301)
Earlier releases
- Brand new document level and dataset level knowledge compilation, supporting Wiki, Graph, Tree, Page Index, Mind Map, Timeline, and To Skills (#16777, #17546, #16797, #16749, #16899, #17996)
- The previous GraphRAG and RAPTOR features have been deprecated and are no longer available in the UI. Their replacements, Graph and Tree, are now integrated into Knowledge Compilation. Previously…
- Brand new Agentic RAG with four thinking modes when answering - Low, Medium, High, and Ultra (#18303, #18138, #17342, #17444)
- Fully revamped model provider system for easier model configuration and management (#16604)
- Qwen 3.8 series (#18368)
- Kimi K3 (#17106)
- NLP/Tokenization: Adds a language-aware Snowball stemmer supporting 16 languages, integrates the dataset language parameter across the tokenization pipeline, and adds Dutch to the frontend. #14140
- The system crashed with a ValueError when parsing LM-Studio model names containing an '@' symbol. #16467
- The MCP server crashed because the listchats function expected a list from the /chats API but received a paginated dictionary instead. #16639
- The Docling parser silently dropped mathematical formulas from documents instead of extracting them. #16645
- The system failed to persist inline edits made to metadata values to the backend. #16655
- The system removed existing links when bulk-linking files to datasets. #16587
- Data source connector: Introduces Google BigQuery as a data source connector for document ingestion and incremental syncing. #15871
- MCP: Adds two MCP tools ragflowlistdatasets and ragflowlistchats to the RAGFlow MCP server. #15384
- File ingestion
- Integrates the layout-aware SoMark OCR parser into the system for extracting and indexing complex document elements like tables and figures. #16482
- API: Exposes the Ingest documents endpoint for processing documents using a customized pipeline. #16395
- Backend: Introduces partial success handling for batch document uploads, ensuring that a single failed file no longer causes the entire batch to be discarded. #16438
- Chat channels
- Integrates WhatsApp via a QR code scan. #16238
- Integrates DingTalk via bot API credentials. #16183
- Integrates WeCom via WebSocket connection. #16175
- File parsing: Adds fallback logic for PP-OCRv6 and similar text recognition models, and integrates image parsing within the PaddleOCR pipeline. #16150
- Adds an edge-case check to the file ingestion logic to safely link empty folders to a dataset. #16296
Ragflow popularity and usage data
The GitHub repository has 92.6K stars, 1,684 of them added in the last 30 days. The latest stable release is 0.27.2, published Sep 10, 2026.
Download the raw daily series: ragflow.csv
Gid Score breakdown
Each component is scored 0 to 100 from public signals; a dash means no data for it. Methodology.
How fresh these numbers are
| Number | Latest reading | Last checked |
|---|---|---|
| GitHub stars | Oct 21, 2026 | Oct 21, 06:32 UTC |
| Website rank (Tranco) | Oct 20, 2026 | Oct 21, 06:39 UTC |
We fetch every source once a day. Registries publish downloads and page views a day or two late, so their latest reading trails the check. A reading more than 4 days old is marked out of date; the Gid Score still uses it until a newer one arrives.
Ragflow FAQ
How much does Ragflow cost?
Free to self-host (Apache-2.0). RAGFlow Cloud has a Free plan (500 credits a month), paid Starter and Pro plans and Enterprise (BYOC or on-premises); see ragflow.io for current prices.
Is Ragflow open source?
Yes. Ragflow is open source, released under the Apache-2.0 license.
How popular is Ragflow?
The GitHub repository has 92.6K stars, 1,684 of them added in the last 30 days. The latest stable release is 0.27.2, published Sep 10, 2026.
What is the latest version of Ragflow?
The latest stable release we track is 0.27.2, published on Sep 10, 2026.
What are the alternatives to Ragflow?
The closest alternatives in the same category by Gid Score are n8n, Dify, Flowise, AnythingLLM.
For the makers of Ragflow badges, corrections
Add a live badge to your README or site:
[](https://agentgid.com/agents/ragflow/)
[](https://agentgid.com/agents/ragflow/)
Something wrong or outdated on this page? Send a correction with a link to the official source. More for makers.
Where these numbers come from
GitHub: infiniflow/ragflow. Site rank: ragflow.io on the Tranco list. See data sources for how each one is collected.
Product facts and pricing were checked against: ragflow.io, github.com.
