# Canopy vs FastRAG

**Leader by vioscaleAI score:** Canopy

| Attribute | Canopy | FastRAG |
|---|---|---|
| **vioscaleAI score** | 45.4 (76% (high)) | 39.9 (54% (medium)) |
| activity.commits_last_30d | 0 | 0 |
| adoption.dependent_repos | 0 | 0 |
| adoption.github_stars | 1,034 | 1,786 |
| 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":"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}]` |
| deployment.options | `{"cloud":true,"self_hosted":true}` | `{"on_prem":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. | 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. |
| 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,"llm_provider_agnostic":true,"embedding_provider_agnostic":true}` |
| integrations.count | 24 | 7 |
| 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":"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}]` |
| language.primary | Python | Python |
| license.spdx | Apache-2.0 | Apache-2.0 |
| market.availability | `{"primaryMarkets":["US","EU"],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` | - |
| platform.support | `{"cli":true}` | `{"cli":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://github.com/pricing","retrievedAt":"2026-08-21T10:58:48.479Z"}` |
| 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 | 22 |
| 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/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.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 | 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}` | `{"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 | Canopy | FastRAG |
|---|:--:|:--:|
| **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 2026-10-16T20:08:32.138Z. "-" = undocumented, not absent.*