--- title: "ragflow vs lastbackend" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/infiniflow-ragflow-vs-lastbackend-lastbackend" tools: ["infiniflow-ragflow", "lastbackend-lastbackend"] --- # ragflow vs lastbackend *GraphCanon updated Jul 15, 2026* ## Verdict Pick ragflow when requirements: Requires Docker; Docker image size is approximately 2 GB; build process requires access to external LLM and embedding services.; pick lastbackend when tags unique to lastbackend: backend, cd, ci, cloud. [ragflow](https://ragflow.io) reports 85k GitHub stars, 9.9k forks, and 2.3k open issues, last pushed Jul 11, 2026. [lastbackend](https://lastbackend.com) has 1.7k stars, 113 forks, and 9 open issues, last pushed Jul 19, 2023. Figures are from public GitHub metadata via [ragflow's repository](https://github.com/infiniflow/ragflow) and [lastbackend's repository](https://github.com/lastbackend/lastbackend). | | [ragflow](/tools/infiniflow-ragflow.md) | [lastbackend](/tools/lastbackend-lastbackend.md) | | --- | --- | --- | | Tagline | Retrieval-Augmented Generation engine with agent capabilities | System for containerized apps management. From build to scaling. | | Stars | 84,818 | 1,656 | | Forks | 9,905 | 113 | | Open issues | 2,302 | 9 | | Language | Go | Go | | Adopt for | RAGFlow is a Retrieval-Augmented Generation (RAG) engine that integrates AI agents for enhanced context management in LLM applications, built using Go language and released under the Apache-2.0 license. | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 License | Apache-2.0 | | 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) | [lastbackend](/tools/lastbackend-lastbackend.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 0d | 1092d | | Open issues (now) | 2.3k | 9 | | Full report | [trust report](/tools/infiniflow-ragflow/trust.md) | [trust report](/tools/lastbackend-lastbackend/trust.md) | ## Decision facts: ragflow - **Requirements:** Requires Docker; Docker image size is approximately 2 GB; build process requires access to external LLM and embedding services. - **Adopt for:** RAGFlow is a Retrieval-Augmented Generation (RAG) engine that integrates AI agents for enhanced context management in LLM applications, built using Go language and released under the Apache-2.0 license. - **License detail:** Apache-2.0 License ## Choose when ### Choose ragflow if… - Requirements: Requires Docker; Docker image size is approximately 2 GB; build process requires access to external LLM and embedding services.. - Tags unique to ragflow: agentic-ai, context-management, rag, retrieval-augmented-generation. - ragflow ships Docker support for self-hosted deployment. - - You need an integrated RAG system with AI agent capabilities for better context management in your applications. ### Choose lastbackend if… - Tags unique to lastbackend: backend, cd, ci, cloud. - Leaner open-issue backlog (9). ## When NOT to use ragflow - - If you specifically require a non-Golang developed RAG engine, as RAGFlow is built entirely in Go. - - Your setup does not support or need Docker (RAGFlow requires building a Docker image that is approximately 2 GB). - - You cannot use external LLM services and embedding services, as RAGFlow relies on them to function. ## When NOT to use lastbackend - Last GitHub push was 1092 days ago (dormant maintenance, Jul 19, 2023). Validate activity before betting a new project on lastbackend. - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. ## Common questions ### What is the difference between ragflow and lastbackend? ragflow: Retrieval-Augmented Generation engine with agent capabilities. lastbackend: System for containerized apps management. From build to scaling.. See the comparison table for live GitHub stats and shared categories. ### When should I choose ragflow over lastbackend? Choose ragflow over lastbackend when Requirements: Requires Docker; Docker image size is approximately 2 GB; build process requires access to external LLM and embedding services.; Tags unique to ragflow: agentic-ai, context-management, rag, retrieval-augmented-generation; ragflow ships Docker support for self-hosted deployment; - You need an integrated RAG system with AI agent capabilities for better context management in your applications. ### When should I choose lastbackend over ragflow? Choose lastbackend over ragflow when Tags unique to lastbackend: backend, cd, ci, cloud; Leaner open-issue backlog (9). ### When should I avoid ragflow? - If you specifically require a non-Golang developed RAG engine, as RAGFlow is built entirely in Go. - Your setup does not support or need Docker (RAGFlow requires building a Docker image that is approximately 2 GB). - You cannot use external LLM services and embedding services, as RAGFlow relies on them to function. ### When should I avoid lastbackend? Last GitHub push was 1092 days ago (dormant maintenance, Jul 19, 2023). Validate activity before betting a new project on lastbackend. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. ### Is ragflow or lastbackend more popular on GitHub? ragflow has more GitHub stars (84,818 vs 1,656). Stars measure visibility, not whether either tool fits your constraints. ### Are ragflow and lastbackend open source? Yes - both are open-source projects on GitHub (ragflow: Apache-2.0, lastbackend: Apache-2.0). ### Where can I find alternatives to ragflow or lastbackend? GraphCanon lists graph-backed alternatives at [ragflow alternatives](/tools/infiniflow-ragflow/alternatives) and [lastbackend alternatives](/tools/lastbackend-lastbackend/alternatives) ([ragflow markdown twin](/tools/infiniflow-ragflow/alternatives.md), [lastbackend markdown twin](/tools/lastbackend-lastbackend/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 [this comparison](/compare/infiniflow-ragflow-vs-lastbackend-lastbackend.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, ragflow or lastbackend? ragflow: Very active. lastbackend: Dormant. 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 lastbackend? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ragflow trust report](/tools/infiniflow-ragflow/trust); [lastbackend trust report](/tools/lastbackend-lastbackend/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/_