# FastRAG vs RAGFlow

| Attribute | FastRAG | RAGFlow |
|---|---|---|
| **vioscaleAI score** | 39.9 (54% (medium)) | 53.5 (9% (low)) |
| activity.commits_last_30d | 0 | - |
| adoption.dependent_repos | 0 | - |
| adoption.github_stars | 1,786 | - |
| content.faq | `[{"answer":"A toolkit for researchers and developers to construct and optimize RAG applications. It provides streamlined components for retrieval and generation, with support for multiple LLM backends and hardware accelerators, and maintains compatibility with the Haystack framework. It is indexed under RAG Tools.","source":"https://github.com/pricing","question":"What is FastRAG?","confidence":0.6},{"answer":"FastRAG is open source, so it can be self-hosted and used at no licence cost. It is released under the Apache-2.0 licence. Pricing changes often, so verify at source before relying on it.","source":"https://github.com/pricing","question":"Is FastRAG free to use?","confidence":0.6},{"answer":"FastRAG supports a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.","source":"https://github.com/pricing","question":"What platforms does FastRAG support?","confidence":0.6},{"answer":"Yes. FastRAG can be deployed self-hosted, so it does not have to run on the vendor's infrastructure.","source":"https://github.com/pricing","question":"Can FastRAG be self-hosted?","confidence":0.6},{"answer":"We have confirmed 6 integrations for FastRAG, including Haystack, HuggingFace, Elastic, Qdrant, OpenVINO and LlamaCpp. This is what we could verify from public sources, so the vendor may support others we have not indexed.","source":"https://github.com/pricing","question":"What does FastRAG integrate with?","confidence":0.6},{"answer":"Yes. FastRAG is published under the Apache-2.0 licence, a permissive licence that generally allows commercial use and modification. Licence terms can change between releases, so verify against the repository for the version you intend to use.","source":"https://github.com/intellabs/fastRAG","question":"Is FastRAG open source?","confidence":0.95}]` | `[{"answer":"An AI platform that combines retrieval-augmented generation with autonomous agent features, enabling developers to create production-ready AI systems from complex data sources. It supports multiple deployment models (cloud or self-hosted Docker), integrates with various LLM providers and data sources, and provides streamlined workflows for enterprises of any scale. It is indexed under RAG Tools.","source":"https://ragflow.io","question":"What is RAGFlow?","confidence":0.6},{"answer":"RAGFlow is open source, so it can be self-hosted and used at no licence cost. Pricing changes often, so verify at source before relying on it.","source":"https://ragflow.io","question":"Is RAGFlow free to use?","confidence":0.6},{"answer":"RAGFlow supports the web, Windows, macOS, Linux and a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.","source":"https://ragflow.io","question":"What platforms does RAGFlow support?","confidence":0.6},{"answer":"Yes. RAGFlow can be deployed cloud / SaaS and self-hosted, so it does not have to run on the vendor's infrastructure.","source":"https://ragflow.io","question":"Can RAGFlow be self-hosted?","confidence":0.6},{"answer":"We have confirmed 13 integrations for RAGFlow, including Discord, Feishu, Telegram, Line, Confluence, S3, Notion and Google Drive, plus 5 more. This is what we could verify from public sources, so the vendor may support others we have not indexed.","source":"https://ragflow.io","question":"What does RAGFlow integrate with?","confidence":0.6}]` |
| deployment.options | `{"on_prem":true,"self_hosted":true}` | `{"cloud":true,"self_hosted":true}` |
| description.long | An open-source Python toolkit that combines document retrieval with large language models to create question-answering and generation systems. Provides optimized components and supports multiple inference backends including Intel accelerators. | RAGFlow is an open-source RAG engine that streamlines data processing and integration for building production-ready AI systems. It supports multiple data formats and provides configurable LLM and embedding options with agent-based workflows. |
| features.capabilities | `{"open_source":true,"multimodal_rag":true,"llm_provider_agnostic":true,"embedding_provider_agnostic":true}` | `{"open_source":true,"multimodal_rag":true,"citation_attribution":true,"llm_provider_agnostic":true,"managed_ingestion_pipeline":true,"embedding_provider_agnostic":true,"multi_hop_agentic_retrieval":true}` |
| integrations.count | 7 | 12 |
| integrations.list | `[{"name":"Haystack"},{"name":"HuggingFace"},{"name":"Elastic"},{"name":"Qdrant"},{"name":"OpenVINO"},{"name":"LlamaCpp"},{"name":"ONNX Runtime","native":true,"category":"inference_runtime"},{"name":"Llama CPP","native":true,"category":"inference_engine"},{"name":"Intel Gaudi","native":true,"category":"hardware"},{"name":"Elasticsearch","native":true}]` | `[{"name":"Discord"},{"name":"Feishu"},{"name":"Telegram"},{"name":"Line"},{"name":"Confluence"},{"name":"S3"},{"name":"Notion"},{"name":"Google Drive"},{"name":"OpenAI"},{"name":"DeepSeek"},{"name":"Gemini"},{"name":"OpenClaw"},{"name":"OpenAI GPT-5","native":true,"category":"llm"},{"name":"Google Gemini 3 Pro","native":true,"category":"llm"},{"name":"DeepSeek v4","native":true,"category":"llm"},{"name":"MCP","native":true}]` |
| language.primary | Python | - |
| license.spdx | Apache-2.0 | - |
| platform.support | `{"cli":true}` | `{"web":true,"linux":true}` |
| pricing | `{"type":"open_source","freeTier":true,"sourceUrl":"https://github.com/pricing","retrievedAt":"2026-08-21T10:58:48.479Z"}` | `{"type":"open_source","freeTier":true,"sourceUrl":"https://ragflow.io","retrievedAt":"2026-09-05T21:04:46.611Z"}` |
| pricing.free_tier | yes | yes |
| pricing.model | open_source | open_source |
| pricing.price_level | free | free |
| pricing.transparent | yes | yes |
| release.cadence_days | 22 | - |
| release.history | `[{"url":"https://github.com/IntelLabs/fastRAG/releases/tag/v3.1.2","date":"2024-11-25T10:09:51Z","type":"stable","version":"v3.1.2"},{"url":"https://github.com/IntelLabs/fastRAG/releases/tag/v3.1.1","date":"2024-11-24T14:22:46Z","type":"stable","version":"v3.1.1"},{"url":"https://github.com/IntelLabs/fastRAG/releases/tag/v3.1.0","date":"2024-11-07T14:21:16Z","type":"stable","version":"v3.1.0"},{"url":"https://github.com/IntelLabs/fastRAG/releases/tag/v3.0.2","date":"2024-07-09T09:49:53Z","type":"stable","version":"v3.0.2"},{"url":"https://github.com/IntelLabs/fastRAG/releases/tag/v3.0.1","date":"2024-07-02T13:38:09Z","type":"stable","version":"v3.0.1"},{"url":"https://github.com/IntelLabs/fastRAG/releases/tag/v3.0","date":"2024-05-22T15:13:25Z","type":"stable","version":"v3.0"},{"url":"https://github.com/IntelLabs/fastRAG/releases/tag/v2.0","date":"2023-12-24T16:24:05Z","type":"stable","version":"v2.0"},{"url":"https://github.com/IntelLabs/fastRAG/releases/tag/v1.3.0","date":"2023-06-20T12:06:34Z","type":"stable","version":"v1.3.0"},{"url":"https://github.com/IntelLabs/fastRAG/releases/tag/v1.2.1","date":"2023-06-13T10:57:48Z","type":"stable","version":"v1.2.1"},{"url":"https://github.com/IntelLabs/fastRAG/releases/tag/v1.2.0","date":"2023-05-21T11:05:07Z","type":"stable","version":"v1.2.0"}]` | - |
| security.trust_center | https://github.com/security | - |
| security.vulnerabilities | `{"count":0,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=fastrag&per_page=100","last_12m":0,"max_severity":null}` | - |

## Capabilities (RAG Tools)

| Capability | FastRAG | RAGFlow |
|---|:--:|:--:|
| **Capabilities** |  |  |
| Hybrid retrieval | - | - |
| Reranking integration | - | - |
| Multi hop agentic retrieval | - | ✓ |
| Embedding provider agnostic | ✓ | ✓ |
| LLM provider agnostic | ✓ | ✓ |
| Built in rag eval metrics | - | - |
| Citation attribution | - | ✓ |
| Multimodal rag | ✓ | ✓ |
| Managed ingestion pipeline | - | ✓ |
| Open source | ✓ | ✓ |

*Source: vioscaleAI. Generated 2026-10-16T19:22:02.161Z. "-" = undocumented, not absent.*