# Canopy vs Contextual AI

**Leader by Vioscale score:** Contextual AI

| Attribute | Canopy | Contextual AI |
|---|---|---|
| **Vioscale score** | 43.5 (35% (low)) | 54 (41% (low)) |
| activity.commits_last_30d | 0 | - |
| adoption.dependent_repos | 0 | - |
| adoption.github_stars | 1,031 | - |
| deployment.options | `{"cloud":true,"self_hosted":true}` | `{"cloud":true,"hybrid":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 unified platform that enables enterprises to rapidly build and deploy specialized AI agents capable of reasoning across complex enterprise data, technical documentation, and institutional knowledge to automate high-value tasks at scale with grounded, accurate responses. |
| 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":false,"multimodal_rag":true,"citation_attribution":true,"llm_provider_agnostic":false,"reranking_integration":true,"built_in_rag_eval_metrics":true,"managed_ingestion_pipeline":true,"embedding_provider_agnostic":false,"multi_hop_agentic_retrieval":true}` |
| integrations.count | 6 | 1 |
| integrations.list | `[{"name":"Pinecone"},{"name":"Qdrant"},{"name":"OpenAI"},{"name":"OctoAI"},{"name":"Cohere"},{"name":"Anyscale"},{"name":"Azure OpenAI"},{"name":"Google Cloud Run"}]` | `[{"name":"Google Cloud"}]` |
| language.primary | Python | - |
| license.spdx | Apache-2.0 | - |
| market.availability | - | `{"primaryMarkets":["US","EU"],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` |
| platform.support | `{"cli":true}` | `{"cli":true,"web":true}` |
| pricing | `{"type":"open_source","freeTier":true,"sourceUrl":"https://github.com/pricing","retrievedAt":"2026-08-21T11:02:40.461Z"}` | `{"type":"hybrid","plans":[{"free":false,"name":"On-demand","summary":"Pay-as-you-go with $25 free credits","features":["Unlimited users","Document access entitlements","Usage analytics","Pipeline observability","Simple text document ingestion","Maximum 1 data integration","Query reformulation and decomposition","Document retrieval","Response generation with groundedness evaluation","Contextual SaaS deployment"],"commitment":"monthly","description":"Usage-based pricing with included free credits","contactSales":false,"includedLimits":{"free_credits":"$25"}},{"free":false,"name":"Enterprise","summary":"Custom pricing","features":["Unlimited users","User roles and admin permissions","Document access entitlements","SOC2 Type II compliance","HIPAA compliance","SAML/SSO","Role-based access control","Usage analytics","Pipeline observability","Uptime SLA","Complex document processing with charts and images","Unstructured data support","Structured data support","UI-based and continuous data ingestion","Unlimited data integrations","Dedicated support","Onboarding services","Custom development support","Custom data retention","Customer VPC or SaaS deployment"],"description":"Custom pricing with enterprise security and performance features","contactSales":true}],"addOns":[{"name":"Parse - Text Only","components":[{"per":{"qty":1000,"unit":"pages"},"kind":"metered","amount":3,"currency":"USD"}]},{"name":"Parse - Multimodal","components":[{"per":{"qty":1000,"unit":"pages"},"kind":"metered","amount":40,"currency":"USD"}]},{"name":"Rerank v2","components":[{"per":{"qty":1,"unit":"million tokens"},"kind":"metered","amount":0.05,"currency":"USD"}]},{"name":"Rerank v2 Mini","components":[{"per":{"qty":1,"unit":"million tokens"},"kind":"metered","amount":0.02,"currency":"USD"}]},{"name":"Generate - Input Tokens","components":[{"per":{"qty":1,"unit":"million tokens"},"kind":"metered","amount":3,"currency":"USD"}]},{"name":"Generate - Output Tokens","components":[{"per":{"qty":1,"unit":"million tokens"},"kind":"metered","amount":15,"currency":"USD"}]}],"summary":"On-demand usage-based pricing from $25 free credits, or Enterprise with custom pricing. Component APIs available separately.","currency":"USD","freeTier":false,"sourceUrl":"https://contextual.ai/pricing","retrievedAt":"2026-08-25T15:36:22.486Z","billingPeriods":["month"]}` |
| pricing.free_tier | yes | no |
| pricing.model | commercial | commercial |
| pricing.price_level | free | unknown |
| pricing.transparent | - | 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.disclosure_policy | - | yes |
| security.gdpr | - | yes |
| security.hipaa | - | yes |
| security.soc2 | - | yes |
| 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 | Contextual AI |
|---|:--:|:--:|
| **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 2026-09-01T14:44:16.581Z. "-" = undocumented, not absent.*