--- title: "ragflow vs SurfSense" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/infiniflow-ragflow-vs-modsetter-surfsense" tools: ["infiniflow-ragflow", "modsetter-surfsense"] --- # ragflow vs SurfSense Neutral, constraint-first comparison with live GitHub stats. | | [ragflow](/tools/infiniflow-ragflow.md) | [SurfSense](/tools/modsetter-surfsense.md) | | --- | --- | --- | | Tagline | Retrieval-Augmented Generation (RAG) engine fusing Agent capabilities with LLM context management | NotebookLM for Competitive Intelligence | | Stars | 84,561 | 15,207 | | Forks | 9,862 | 1,458 | | Open issues | 2,325 | 110 | | Language | Go | Python | | Adopt for | Decide whether to use RAGFlow based on its unique integration of retrieval and AI agent capabilities for generating enhanced context layers with LLMs, while considering its language choice (Go) and Apache-2.0 license. | SurfSense is an open-source competitive intelligence platform aimed at empowering AI agents with live market data from a variety of platforms including Reddit and Google Search. It provides robust connectors for real-tim | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Other | | Categories | AI Agents, Data & Retrieval | AI Agents, Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ragflow](/tools/infiniflow-ragflow.md) | [SurfSense](/tools/modsetter-surfsense.md) | | --- | --- | --- | | Open issues (now) | 2.3k | 110 | | Owner type | Organization | User | | Security scan | 4 low (4 low) | No criticals | | Full report | [trust report](/tools/infiniflow-ragflow/trust.md) | [trust report](/tools/modsetter-surfsense/trust.md) | **Typed relationship:** ragflow _(alternative)_ SurfSense Both RAGFlow and SurfSense deal with retrieval-augmented generation and AI agents, but they serve different purposes — SurfSense for competitive intelligence specifically. ## Decision facts: ragflow - **Pricing:** freemium - RAGFlow is offered under an Apache-2.0 license, making the core functionality free and open-source. However, there may be additional costs associated with hosting, infrastructure maintenance, and any云 - **Adopt for:** Decide whether to use RAGFlow based on its unique integration of retrieval and AI agent capabilities for generating enhanced context layers with LLMs, while considering its language choice (Go) and Apache-2.0 license. ## Decision facts: SurfSense - **Pricing:** freemium - SurfSense is open-source with self-hosting capabilities, likely offering a free tier or cost-free option for those hosting it themselves. Any premium services would be indicated separately if offered. - **Adopt for:** SurfSense is an open-source competitive intelligence platform aimed at empowering AI agents with live market data from a variety of platforms including Reddit and Google Search. It provides robust connectors for real-tim ## Choose when ### Choose ragflow if… - ragflow is primarily Go; SurfSense is Python. - License: ragflow is Apache-2.0, SurfSense is Other. - Pricing: RAGFlow is offered under an Apache-2.0 license, making the core functionality free and open-source. However, there may be additional costs associated with hosting, infrastructure maintenance, and any云. - Both RAGFlow and SurfSense deal with retrieval-augmented generation and AI agents, but they serve different purposes — SurfSense for competitive intelligence specifically. - Tags unique to ragflow: context-management, llm-context-layer, rag, agentic-ai. - ragflow ships Docker support for self-hosted deployment. - When you need a tool that integrates both retrieval-augmented generation and AI agent functionalities to enhance the contextual layer for any use case involving large language models. ### Choose SurfSense if… - SurfSense is primarily Python; ragflow is Go. - License: SurfSense is Other, ragflow is Apache-2.0. - Pricing: SurfSense is open-source with self-hosting capabilities, likely offering a free tier or cost-free option for those hosting it themselves. Any premium services would be indicated separately if offered.. - Both RAGFlow and SurfSense deal with retrieval-augmented generation and AI agents, but they serve different purposes — SurfSense for competitive intelligence specifically. - Tags unique to SurfSense: extension, chrome-extension, agents, ai. - + When monitoring competitor activities or tracking market trends in real-time. ## When NOT to use ragflow - If your project strictly requires a Python environment as RAGFlow is written in Go, transitioning or integrating might pose technical challenges. - In situations where you need real-time processing capabilities superior to what's currently offered by RAGFlow’s architecture without significant customization efforts. - When looking for specialized RAG platforms that offer more mature features like extensive pre-trained models or advanced data handling specific to niche industries. ## When NOT to use SurfSense - - If your focus is solely on content generation without requiring real-time market data insights. - - When the primary requirement is an easy-to-use GUI for non-technical users, rather than API-driven integrations. - - In scenarios where direct access to raw data from platforms like Reddit or Google Search through traditional APIs is sufficient and you do not require SurfSense's extended functionalities. ## Common questions ### What is the difference between ragflow and SurfSense? ragflow: Retrieval-Augmented Generation (RAG) engine fusing Agent capabilities with LLM context management. SurfSense: NotebookLM for Competitive Intelligence. See the comparison table for live GitHub stats and shared categories. ### When should I choose ragflow over SurfSense? Choose ragflow over SurfSense when ragflow is primarily Go; SurfSense is Python; License: ragflow is Apache-2.0, SurfSense is Other; Pricing: RAGFlow is offered under an Apache-2.0 license, making the core functionality free and open-source. However, there may be additional costs associated with hosting, infrastructure maintenance, and any云; Both RAGFlow and SurfSense deal with retrieval-augmented generation and AI agents, but they serve different purposes — SurfSense for competitive intelligence specifically; Tags unique to ragflow: context-management, llm-context-layer, rag, agentic-ai; ragflow ships Docker support for self-hosted deployment; When you need a tool that integrates both retrieval-augmented generation and AI agent functionalities to enhance the contextual layer for any use case involving large language models. ### When should I choose SurfSense over ragflow? Choose SurfSense over ragflow when SurfSense is primarily Python; ragflow is Go; License: SurfSense is Other, ragflow is Apache-2.0; Pricing: SurfSense is open-source with self-hosting capabilities, likely offering a free tier or cost-free option for those hosting it themselves. Any premium services would be indicated separately if offered.; Both RAGFlow and SurfSense deal with retrieval-augmented generation and AI agents, but they serve different purposes — SurfSense for competitive intelligence specifically; Tags unique to SurfSense: extension, chrome-extension, agents, ai; + When monitoring competitor activities or tracking market trends in real-time. ### When should I avoid ragflow? If your project strictly requires a Python environment as RAGFlow is written in Go, transitioning or integrating might pose technical challenges. In situations where you need real-time processing capabilities superior to what's currently offered by RAGFlow’s architecture without significant customization efforts. When looking for specialized RAG platforms that offer more mature features like extensive pre-trained models or advanced data handling specific to niche industries. ### When should I avoid SurfSense? - If your focus is solely on content generation without requiring real-time market data insights. - When the primary requirement is an easy-to-use GUI for non-technical users, rather than API-driven integrations. - In scenarios where direct access to raw data from platforms like Reddit or Google Search through traditional APIs is sufficient and you do not require SurfSense's extended functionalities. ### Is ragflow or SurfSense more popular on GitHub? ragflow has more GitHub stars (84,561 vs 15,207). Stars measure visibility, not whether either tool fits your constraints. ### Are ragflow and SurfSense open source? Yes - both are open-source projects on GitHub (ragflow: Apache-2.0, SurfSense: Other). ### Where can I find alternatives to ragflow or SurfSense? GraphCanon lists graph-backed alternatives at /tools/infiniflow-ragflow/alternatives and /tools/modsetter-surfsense/alternatives (/tools/infiniflow-ragflow/alternatives.md, /tools/modsetter-surfsense/alternatives.md), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at /compare/infiniflow-ragflow-vs-modsetter-surfsense.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, ragflow or SurfSense? ragflow: Very active. SurfSense: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for ragflow and SurfSense? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ragflow: /tools/infiniflow-ragflow/trust; SurfSense: /tools/modsetter-surfsense/trust. --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=infiniflow-ragflow`](/api/graphcanon/graph?tool=infiniflow-ragflow) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_