# Canopy vs Ragas

| Attribute | Canopy | Ragas |
|---|---|---|
| **Vioscale score** | 43.5 (35% (low)) | 58.4 (27% (low)) |
| activity.commits_last_30d | 0 | - |
| adoption.dependent_repos | 0 | 1 |
| adoption.github_stars | 1,031 | 15,484 |
| deployment.options | `{"cloud":true,"self_hosted":true}` | `{"self_hosted":true}` |
| description.long | 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. | A Python-based framework that evaluates RAG applications through automatic metrics covering faithfulness, relevance, and recall. Includes tools to synthetically generate test datasets customized for specific use cases, enabling developers to assess LLM application performance at both component and end-to-end levels. |
| features.capabilities | `{"open_source":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,"pricing_model":"free_open_source","architecture_model":"open_source_cli","built_in_rag_eval_metrics":true,"llm_as_a_judge_prompt_grading_framework":true,"synthetic_test_dataset_generation_from_documents":true}` |
| integrations.count | 6 | 3 |
| integrations.list | `[{"name":"Pinecone"},{"name":"Qdrant"},{"name":"OpenAI"},{"name":"OctoAI"},{"name":"Cohere"},{"name":"Anyscale"},{"name":"Azure OpenAI"},{"name":"Google Cloud Run"}]` | `[{"name":"LlamaIndex"},{"name":"LangSmith"},{"name":"OpenAI"}]` |
| language.primary | Python | Python |
| license.spdx | Apache-2.0 | Apache-2.0 |
| platform.support | `{"cli":true}` | `{"cli":true}` |
| pricing | `{"type":"open_source","freeTier":true,"sourceUrl":"https://github.com/pricing","retrievedAt":"2026-08-21T11:02:40.461Z"}` | `{"type":"open_source","freeTier":true,"sourceUrl":"https://ragas.io","retrievedAt":"2026-08-21T13:52:19.928Z"}` |
| pricing.free_tier | yes | yes |
| pricing.model | commercial | commercial |
| pricing.price_level | free | free |
| pricing.transparent | - | yes |
| release.cadence_days | 3 | 7 |
| 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"}]` | `[{"url":"https://github.com/vibrantlabsai/ragas/releases/tag/v0.4.3","date":"2026-01-13T17:47:29Z","type":"stable","version":"v0.4.3"},{"url":"https://github.com/vibrantlabsai/ragas/releases/tag/v0.4.2","date":"2025-12-23T17:13:41Z","type":"stable","version":"v0.4.2"},{"url":"https://github.com/vibrantlabsai/ragas/releases/tag/v0.4.1","date":"2025-12-10T16:28:51Z","type":"stable","version":"v0.4.1"},{"url":"https://github.com/vibrantlabsai/ragas/releases/tag/v0.4.0","date":"2025-12-03T16:22:29Z","type":"stable","version":"v0.4.0"},{"url":"https://github.com/vibrantlabsai/ragas/releases/tag/v0.3.9","date":"2025-11-11T17:24:46Z","type":"stable","version":"v0.3.9"},{"url":"https://github.com/vibrantlabsai/ragas/releases/tag/v0.3.8","date":"2025-10-28T19:09:17Z","type":"stable","version":"v0.3.8"},{"url":"https://github.com/vibrantlabsai/ragas/releases/tag/v0.3.7","date":"2025-10-14T16:21:37Z","type":"stable","version":"v0.3.7"},{"url":"https://github.com/vibrantlabsai/ragas/releases/tag/v0.3.6","date":"2025-10-03T03:56:31Z","type":"stable","version":"v0.3.6"},{"url":"https://github.com/vibrantlabsai/ragas/releases/tag/v0.3.5","date":"2025-09-17T19:13:15Z","type":"stable","version":"v0.3.5"},{"url":"https://github.com/vibrantlabsai/ragas/releases/tag/v0.3.5rc2","date":"2025-09-17T17:40:25Z","type":"prerelease","version":"v0.3.5rc2"},{"url":"https://github.com/vibrantlabsai/ragas/releases/tag/v0.3.5rc1","date":"2025-09-17T17:31:23Z","type":"prerelease","version":"v0.3.5rc1"},{"url":"https://github.com/vibrantlabsai/ragas/releases/tag/v0.3.4","date":"2025-09-10T23:57:28Z","type":"stable","version":"v0.3.4"},{"url":"https://github.com/vibrantlabsai/ragas/releases/tag/v0.3.3","date":"2025-09-04T17:59:51Z","type":"stable","version":"v0.3.3"},{"url":"https://github.com/vibrantlabsai/ragas/releases/tag/v0.3.3rc1","date":"2025-09-04T17:46:09Z","type":"prerelease","version":"v0.3.3rc1"},{"url":"https://github.com/vibrantlabsai/ragas/releases/tag/v0.3.2","date":"2025-08-19T12:03:50Z","type":"stable","version":"v0.3.2"},{"url":"https://github.com/vibrantlabsai/ragas/releases/tag/v0.3.2rc3","date":"2025-08-19T12:01:12Z","type":"prerelease","version":"v0.3.2rc3"},{"url":"https://github.com/vibrantlabsai/ragas/releases/tag/v0.3.2-rc2","date":"2025-08-19T11:49:23Z","type":"prerelease","version":"v0.3.2-rc2"},{"url":"https://github.com/vibrantlabsai/ragas/releases/tag/v0.3.2-rc1","date":"2025-08-19T10:28:33Z","type":"prerelease","version":"v0.3.2-rc1"},{"url":"https://github.com/vibrantlabsai/ragas/releases/tag/v0.3.1","date":"2025-08-11T11:15:03Z","type":"stable","version":"v0.3.1"},{"url":"https://github.com/vibrantlabsai/ragas/releases/tag/v0.3.0","date":"2025-07-17T05:32:24Z","type":"stable","version":"v0.3.0"}]` |
| 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}` | `{"count":2,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=ragas&per_page=100","last_12m":2,"max_severity":"HIGH"}` |

## Capabilities (RAG Tools)

| Capability | Canopy | Ragas |
|---|:--:|:--:|
| **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: Vioscale. Generated 2026-09-01T17:17:20.380Z. "-" = undocumented, not absent.*