# Canopy vs RAGFlow

| Attribute | Canopy | RAGFlow |
|---|---|---|
| **vioscaleAI score** | 45.4 (76% (high)) | 53.5 (9% (low)) |
| activity.commits_last_30d | 0 | - |
| adoption.dependent_repos | 0 | - |
| adoption.github_stars | 1,034 | - |
| content.faq | `[{"answer":"A modular RAG framework that handles document ingestion, embedding, storage in vector databases, and context-aware chat interactions. Built on Pinecone and compatible with multiple LLM providers, it automates the heavy lifting of chunking, embedding, retrieval, and prompt engineering for AI applications. It is indexed under RAG Tools.","source":"https://github.com/pricing","question":"What is Canopy?","confidence":0.6},{"answer":"Canopy 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 Canopy free to use?","confidence":0.6},{"answer":"Canopy 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 Canopy support?","confidence":0.6},{"answer":"Yes. Canopy can be deployed cloud / SaaS and self-hosted, so it does not have to run on the vendor's infrastructure.","source":"https://github.com/pricing","question":"Can Canopy be self-hosted?","confidence":0.6},{"answer":"We have confirmed 7 integrations for Canopy, including Pinecone, Qdrant, OpenAI, OctoAI, Cohere, Anyscale and Google Cloud Run. 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 Canopy integrate with?","confidence":0.6},{"answer":"Yes. Canopy 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/pinecone-io/canopy","question":"Is Canopy 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 | `{"cloud":true,"self_hosted":true}` | `{"cloud":true,"self_hosted":true}` |
| description.long | Canopy is an open-source framework that simplifies building RAG applications by handling chunking, embedding, vector storage, chat history, and context retrieval. It provides a CLI tool to interactively evaluate your RAG workflows against non-RAG responses. | 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,"soc2_type_ii":true,"hybrid_retrieval":true,"citation_attribution":true,"llm_provider_agnostic":true,"reranking_integration":true,"built_in_rag_eval_metrics":true,"managed_ingestion_pipeline":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 | 24 | 12 |
| integrations.list | `[{"name":"Pinecone"},{"name":"Qdrant"},{"name":"OpenAI"},{"name":"OctoAI"},{"name":"Cohere"},{"name":"Anyscale"},{"name":"Azure OpenAI"},{"name":"Google Cloud Run"},{"name":"CircleCI","category":"ci"},{"name":"Azure Pipelines","category":"ci"},{"name":"Codemagic","category":"ci"},{"name":"Render","category":"ci"},{"name":"CodeRabbit","category":"code_review"},{"name":"Linear","category":"code_review"},{"name":"PullRequest","category":"code_review"},{"name":"Zenhub","category":"project_management"},{"name":"Zube","category":"project_management"},{"name":"Codecov","category":"code_quality"},{"name":"Codacy","category":"code_quality"},{"name":"CodeFactor","category":"code_quality"},{"name":"DeepScan","category":"static_analysis"},{"name":"GuardRails","category":"security"},{"name":"Coveralls","category":"code_quality"},{"name":"Rollbar","category":"error_logging"},{"name":"Mergify","category":"automation"},{"name":"Imgbot","category":"backup"},{"name":"WakaTime","category":"metrics"},{"name":"Argos Visual Testing","category":"testing"},{"name":"POEditor","category":"localization"},{"name":"Codemagic CI/CD","category":"ci_cd"},{"name":"Qlty Cloud","category":"code_quality"},{"name":"LovableBot","category":"project_sync"},{"name":"OpenCode","category":"integration"},{"name":"SentenceTransformers","native":true,"category":"embeddings","direction":"outbound"}]` | `[{"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 | - |
| market.availability | `{"primaryMarkets":["US","EU"],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` | - |
| platform.support | `{"cli":true}` | `{"web":true,"linux":true}` |
| pricing | `{"type":"hybrid","plans":[{"free":true,"name":"Free","features":["Public repositories","2000 CI/CD minutes per month","Pull request collaboration","Project wiki","Dependabot vulnerability alerts"],"description":"Public repository hosting with basic collaboration and continuous integration features","contactSales":false,"includedLimits":{"ci_cd_minutes_per_month":"2000"}},{"free":false,"name":"Codespaces","components":[{"per":{"qty":1,"unit":"hour"},"kind":"metered","amount":0.18,"currency":"USD"},{"per":{"qty":1,"unit":"GB"},"kind":"metered","amount":0.07,"currency":"USD"}],"description":"Cloud-based development environments","contactSales":false},{"free":false,"name":"Enterprise Cloud","description":"Multi-tenant cloud solution with regional deployment and advanced administration features","contactSales":true}],"summary":"Free tier available. Usage-based Codespaces pricing starting at $0.18/hour compute and $0.07/GB storage. Enterprise plans available.","currency":"USD","freeTier":true,"sourceUrl":"https://github.com/pricing","retrievedAt":"2026-09-14T18:14:24.991Z","startingPrice":{"unit":"GB","amount":0.07,"currency":"USD"},"billingPeriods":["month"]}` | `{"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.starting_price | `{"amount":0.07,"currency":"USD"}` | - |
| pricing.transparent | no | yes |
| release.cadence_days | 3 | - |
| release.history | `[{"url":"https://github.com/pinecone-io/canopy/releases/tag/v0.9.0","date":"2024-03-31T07:52:40Z","type":"stable","version":"v0.9.0"},{"url":"https://github.com/pinecone-io/canopy/releases/tag/v0.8.1","date":"2024-03-06T14:35:29Z","type":"stable","version":"v0.8.1"},{"url":"https://github.com/pinecone-io/canopy/releases/tag/v0.8.0","date":"2024-02-15T14:55:40Z","type":"stable","version":"v0.8.0"},{"url":"https://github.com/pinecone-io/canopy/releases/tag/v0.7.0","date":"2024-02-15T09:32:37Z","type":"stable","version":"v0.7.0"},{"url":"https://github.com/pinecone-io/canopy/releases/tag/v0.6.0","date":"2024-01-16T16:04:02Z","type":"stable","version":"v0.6.0"},{"url":"https://github.com/pinecone-io/canopy/releases/tag/V0.5.0","date":"2023-12-13T16:49:26Z","type":"stable","version":"V0.5.0"},{"url":"https://github.com/pinecone-io/canopy/releases/tag/V0.3.0","date":"2023-12-10T21:42:05Z","type":"stable","version":"V0.3.0"},{"url":"https://github.com/pinecone-io/canopy/releases/tag/V0.4.0a0","date":"2023-12-10T22:17:39Z","type":"prerelease","version":"V0.4.0a0"},{"url":"https://github.com/pinecone-io/canopy/releases/tag/V0.2.0","date":"2023-11-16T15:28:52Z","type":"stable","version":"V0.2.0"},{"url":"https://github.com/pinecone-io/canopy/releases/tag/V0.1.4","date":"2023-11-14T15:11:39Z","type":"stable","version":"V0.1.4"},{"url":"https://github.com/pinecone-io/canopy/releases/tag/V0.1.3","date":"2023-11-09T21:34:34Z","type":"stable","version":"V0.1.3"},{"url":"https://github.com/pinecone-io/canopy/releases/tag/V0.1.2","date":"2023-11-08T22:58:09Z","type":"stable","version":"V0.1.2"},{"url":"https://github.com/pinecone-io/canopy/releases/tag/V0.1.1","date":"2023-11-07T16:58:06Z","type":"stable","version":"V0.1.1"}]` | - |
| security.certifications | `[{"name":"SOC 2 Type 2","level":"Type 2","status":"active","auditor":"AICPA"}]` | - |
| security.fedramp | yes | - |
| security.gdpr | yes | - |
| security.soc2 | yes | - |
| security.trust_center | https://github.com/security | - |
| security.vulnerabilities | `{"count":0,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=go&package_name=github.com%2Fpinecone-io%2Fcanopy&per_page=100","last_12m":0,"max_severity":null}` | - |

## Capabilities (RAG Tools)

| Capability | Canopy | 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 2026-10-16T20:58:08.359Z. "-" = undocumented, not absent.*