# Amazon Bedrock Knowledge Bases vs RAGFlow

| Attribute | Amazon Bedrock Knowledge Bases | RAGFlow |
|---|---|---|
| **vioscaleAI score** | 58.2 (74% (medium)) | 53.5 (9% (low)) |
| content.faq | `[{"answer":"A fully managed AWS service that automatically handles document ingestion, multimodal content parsing, embedding generation, and intelligent retrieval with optional AI-powered multi-step query planning for complex information lookups. It is indexed under RAG Tools.","source":"https://aws.amazon.com/bedrock/pricing/","question":"What is Amazon Bedrock Knowledge Bases?","confidence":0.6},{"answer":"Amazon Bedrock Knowledge Bases offers a free tier, so you can start without paying. Paid plans start at $0.01. Prices are published openly on the vendor's own pricing page. Pricing changes often, so verify at source before relying on it.","source":"https://aws.amazon.com/bedrock/pricing/","question":"Is Amazon Bedrock Knowledge Bases free?","confidence":0.6},{"answer":"We have confirmed browser-based access to Amazon Bedrock Knowledge Bases. That is the extent of what we could verify from public sources, so it may well offer desktop or mobile clients we have not indexed.","source":"https://aws.amazon.com/bedrock/pricing/","question":"What platforms does Amazon Bedrock Knowledge Bases support?","confidence":0.6},{"answer":"We have only confirmed a cloud / SaaS deployment for Amazon Bedrock Knowledge Bases, so it appears to be vendor-hosted. If a self-hosted option exists we have not found it documented publicly.","source":"https://aws.amazon.com/bedrock/pricing/","question":"Can Amazon Bedrock Knowledge Bases be self-hosted?","confidence":0.6},{"answer":"We have confirmed 11 integrations for Amazon Bedrock Knowledge Bases, including Amazon S3, SharePoint, Confluence, Google Drive, OneDrive, Web crawlers, Amazon Bedrock AgentCore and Asana, plus 3 more. This is what we could verify from public sources, so the vendor may support others we have not indexed.","source":"https://aws.amazon.com/bedrock/pricing/","question":"What does Amazon Bedrock Knowledge Bases integrate with?","confidence":0.6},{"answer":"We have independently confirmed HIPAA and GDPR for Amazon Bedrock Knowledge Bases. Certifications we do not list are ones we have not been able to verify from public sources, which is not the same as Amazon Bedrock Knowledge Bases not holding them. Always confirm compliance directly before you rely on it.","source":"https://aws.amazon.com/trust-center/?nc1=f_cc","question":"What security certifications does Amazon Bedrock Knowledge Bases have?","confidence":0.7},{"answer":"Amazon Bedrock Knowledge Bases is available in the United States, India, Brazil, Indonesia, Japan, Sweden, Germany and Ireland. Its primary markets are the United States and the EU. The vendor is headquartered in the United States.","source":"https://aws.amazon.com/bedrock/pricing/","question":"Where is Amazon Bedrock Knowledge Bases available?","confidence":0.75}]` | `[{"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}` | `{"cloud":true,"self_hosted":true}` |
| description.long | Amazon Bedrock Knowledge Bases automates linking AI models to your organization's data, from extracting and indexing documents to executing intelligent searches that provide models with current, relevant context. | 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":false,"multimodal_rag":true,"llm_provider_agnostic":true,"reranking_integration":true,"built_in_rag_eval_metrics":true,"managed_ingestion_pipeline":true,"multi_hop_agentic_retrieval":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 | 7 | 12 |
| 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":"S3","native":true,"category":"storage","direction":"inbound"},{"name":"Bedrock Data Automation","native":true,"direction":"inbound"},{"name":"Web Crawler","native":true,"category":"web","direction":"inbound"}]` | `[{"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}]` |
| market.availability | `{"hqCountry":"US","primaryMarkets":["US"],"availabilityScope":"global","availableCountries":["US","BR","DE","IE","IN","ID","IT","JP","SE"],"notAvailableCountries":[]}` | - |
| platform.support | `{"web":true}` | `{"web":true,"linux":true}` |
| pricing | `{"type":"usage","plans":[{"free":false,"name":"Standard Tier","summary":"Free parsing, $1.00 per 1,000 Agentic API calls, $0.010 per page processed","features":["Multimodal document parsing","Embeddings generation","Standard retrieval API","Agentic multi-step retrieval","Native connectors to S3, SharePoint, Confluence, OneDrive, Google Drive","Web crawler support","Session memory and observability"],"components":[{"kind":"fixed","amount":0,"period":"month","currency":"USD"},{"kind":"per_unit","unit":"1000 Agentic Retrieve API calls","amount":1,"period":"month","currency":"USD"},{"per":{"qty":1,"unit":"page"},"kind":"metered","amount":0.01,"currency":"USD"}],"description":"Pay-per-use pricing based on data processing and API calls","contactSales":false}],"summary":"Usage-based pricing: free multimodal parsing, $1.00 per 1,000 Agentic Retrieve API calls, $0.010 per processed page","currency":"USD","sourceUrl":"https://aws.amazon.com/bedrock/pricing/","retrievedAt":"2026-09-28T13:42:48.025Z","startingPrice":{"amount":0,"period":"month","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 | commercial | open_source |
| pricing.price_level | free | free |
| pricing.starting_price | `{"amount":0,"currency":"USD"}` | - |
| pricing.transparent | yes | yes |
| reliability.status_page | yes | - |
| security.certifications | `[{"name":"PCI-DSS","status":"active","evidenceUrl":"https://aws.amazon.com/compliance/"},{"name":"HIPAA/HITECH","status":"active","evidenceUrl":"https://aws.amazon.com/compliance/"},{"name":"FedRAMP","status":"active","evidenceUrl":"https://aws.amazon.com/compliance/"},{"name":"GDPR","status":"active","evidenceUrl":"https://aws.amazon.com/compliance/"},{"name":"FIPS 140-3","status":"active","evidenceUrl":"https://aws.amazon.com/compliance/"},{"name":"NIST 800-171","status":"active","evidenceUrl":"https://aws.amazon.com/compliance/"}]` | - |
| security.disclosure_policy | yes | - |
| security.fedramp | yes | - |
| security.gdpr | yes | - |
| security.hipaa | yes | - |
| security.pci | yes | - |
| security.trust_center | https://aws.amazon.com/security/ | - |

## Capabilities (RAG Tools)

| Capability | Amazon Bedrock Knowledge Bases | 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 2026-10-21T18:24:50.591Z. "-" = undocumented, not absent.*