# Amazon Bedrock Knowledge Bases vs Ragas

| Attribute | Amazon Bedrock Knowledge Bases | Ragas |
|---|---|---|
| **Vioscale score** | 60.8 (62% (medium)) | 58.4 (27% (low)) |
| adoption.dependent_repos | - | 1 |
| adoption.github_stars | - | 15,484 |
| deployment.options | `{"cloud":true}` | `{"self_hosted":true}` |
| description.long | Amazon Bedrock Knowledge Bases is a fully managed service that integrates generative AI applications with company proprietary data sources. It handles data ingestion, embedding, storage, and retrieval from sources like S3, SharePoint, and Confluence, and integrates natively with Bedrock agents to build AI systems without custom code. | 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,"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 | 10 | 3 |
| integrations.list | `[{"name":"Amazon S3"},{"name":"SharePoint"},{"name":"Confluence"},{"name":"Google Drive"},{"name":"OneDrive"},{"name":"Web crawlers"},{"name":"Amazon Bedrock AgentCore"},{"name":"Asana"},{"name":"LangChain"},{"name":"Strands"}]` | `[{"name":"LlamaIndex"},{"name":"LangSmith"},{"name":"OpenAI"}]` |
| language.primary | - | Python |
| license.spdx | - | Apache-2.0 |
| market.availability | `{"hqCountry":"US","primaryMarkets":["US","GB","DE","IE","JP"],"availabilityScope":"global","availableCountries":["US","GB","DE","IE","IT","SE","JP","IN","BR","SG"],"notAvailableCountries":[]}` | - |
| platform.support | `{"web":true}` | `{"cli":true}` |
| pricing | `{"type":"hybrid","plans":[{"free":false,"name":"Standard","summary":"Pay per page ($0.010), per Retrieve API call ($1.00/1k), and per image for fine-tuning ($0.005)","features":["Knowledge base storage and retrieval","Native data connectors","Smart parsing","Multimodal processing","Built-in observability"],"components":[{"per":{"qty":1,"unit":"page"},"kind":"metered","amount":0.01,"currency":"USD"},{"per":{"qty":1000,"unit":"Retrieve API calls"},"kind":"metered","amount":1,"currency":"USD"},{"per":{"qty":1,"unit":"image"},"kind":"metered","amount":0.005,"currency":"USD"}],"description":"On-demand pricing based on usage","contactSales":false},{"free":false,"name":"Flex","summary":"50% discount to Standard tier pricing","features":["Knowledge base storage and retrieval","Native data connectors","Smart parsing","Multimodal processing","Built-in observability"],"components":[{"of":"Standard tier pricing","kind":"percentage","rate":50}],"description":"Discounted on-demand pricing","contactSales":false},{"free":false,"name":"Priority","summary":"75% premium to Standard tier pricing","features":["Knowledge base storage and retrieval","Native data connectors","Smart parsing","Multimodal processing","Built-in observability"],"components":[{"of":"Standard tier pricing","kind":"percentage","rate":175}],"description":"Premium on-demand pricing for priority access","contactSales":false},{"free":false,"name":"Reserved","summary":"Per-hour pricing per model unit with commitment discounts","features":["Reserved model units","Committed pricing"],"commitment":"monthly","description":"Committed capacity pricing with 1-month or 6-month terms","contactSales":false}],"addOns":[{"name":"Custom Model Storage","components":[{"kind":"fixed","amount":1.95,"period":"month","currency":"USD"}]},{"name":"Batch Inference","components":[{"of":"On-demand inference pricing","kind":"percentage","rate":50}]}],"summary":"Usage-based starting at $0.010 per page and $1.00 per 1,000 API calls. Free managed search index. Multiple tiers available (Standard, Flex, Priority, Reserved).","currency":"USD","freeTier":true,"sourceUrl":"https://aws.amazon.com/bedrock/pricing/","retrievedAt":"2026-08-19T18:21:34.026Z","startingPrice":{"unit":"image","amount":0.005,"currency":"USD"},"billingPeriods":["month"]}` | `{"type":"open_source","freeTier":true,"sourceUrl":"https://ragas.io","retrievedAt":"2026-08-21T13:52:19.928Z"}` |
| pricing.free_tier | yes | yes |
| pricing.model | freemium | commercial |
| pricing.price_level | low | free |
| pricing.starting_price | `{"amount":0.005,"currency":"USD"}` | - |
| pricing.transparent | yes | yes |
| release.cadence_days | - | 7 |
| release.history | - | `[{"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"}]` |
| reliability.status_page | yes | - |
| security.fedramp | yes | - |
| security.gdpr | yes | - |
| security.hipaa | yes | - |
| security.pci | yes | - |
| security.vulnerabilities | - | `{"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 | Amazon Bedrock Knowledge Bases | 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 2026-09-01T17:14:30.316Z. "-" = undocumented, not absent.*