Amazon Bedrock Knowledge Bases vs RAGFlow

Amazon Bedrock Knowledge Bases9.3Visit RAGFlow8.8Visit

Higher score Amazon Bedrock Knowledge Bases #1 in Retrieval-Augmented Generation Tools 9.3/10 Paid ✓ 3 of 4 features Visit Amazon Bedrock

vs

RAGFlow #4 in Retrieval-Augmented Generation Tools 8.8/10 Free plan Free plan✓ 4 of 4 features Visit RAGFlow

• Amazon Bedrock Knowledge Bases fits best

  AWS-centric production RAG deployments

• RAGFlow fits best

  Affordable deep-document RAG

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Side by side

Feature	Amazon Bedrock Knowledge Bases 9.3/10 Visit ↗	RAGFlow 8.8/10 Visit ↗
At a glance
Editor score	9.3	8.8
Ranking	#1 in Retrieval-Augmented Generation Tools	#4 in Retrieval-Augmented Generation Tools
Best for	AWS-centric production RAG deployments	Affordable deep-document RAG
Pricing model	Paid	Free plan + paid
Starting price	Not checked yet	$29/mo
Free plan	Not checked yet	✓ (best)
Free trial	—	—
Deployment	Cloud	Cloud, Self-hosted
Platforms	Web	Web
Support	Docs	Community, Docs
Built for	Small business, Mid-market, Enterprise	Solo, Small business, Mid-market, Enterprise
Features Amazon Bedrock Knowledge Bases 3/4 · RAGFlow 4/4
Source citations	✓	✓
Hybrid search	✓	✓
Result reranking	✓	✓
RAG workflow builder	Not checked yet	✓ (best)
Specs
Source connectors	Not checked yet	Not checked yet
Deployment	Cloud	Both
Maximum file size	50 MB	Not checked yet
Our review
Pros	Hybrid search, reranking, citations, and agentic retrieval Broad connectors across AWS, SaaS, databases, and vector stores Supports multimodal documents and natural-language-to-SQL generation	Hybrid search combines vector search, BM25, and custom scoring. Grounded answers include traceable citations and advanced reranking. Hosted, API, and Docker deployment support flexible implementation.
Cons	Cloud deployment limits teams seeking non-cloud options Usage-based billing spans multiple retrieval and AWS components Its breadth may be more than needed for narrowly scoped RAG projects	The Free plan does not include an API key. Free storage is limited to 0.1 GB and five apps. Enterprise features require a separate plan with custom terms.
Our verdict	Amazon Bedrock Knowledge Bases is a managed Retrieval-Augmented Generation service for developers and organizations building AI applications and agents over proprietary data. It handles document ingestion and chunking, generates and stores… Read the review →	RAGFlow is an open-source retrieval-augmented generation engine for developers and enterprises building AI assistants and agent applications. It is designed for teams working with complex, multi-format data and supports hosted use, HTTP… Read the review →

Strengths and trade-offs

• Amazon Bedrock Knowledge Bases — where it wins

  • Hybrid search, reranking, citations, and agentic retrieval
  • Broad connectors across AWS, SaaS, databases, and vector stores
  • Supports multimodal documents and natural-language-to-SQL generation

  Where it doesn't

  • Cloud deployment limits teams seeking non-cloud options
  • Usage-based billing spans multiple retrieval and AWS components
  • Its breadth may be more than needed for narrowly scoped RAG projects

• RAGFlow — where it wins

  • Hybrid search combines vector search, BM25, and custom scoring.
  • Grounded answers include traceable citations and advanced reranking.
  • Hosted, API, and Docker deployment support flexible implementation.

  Where it doesn't

  • The Free plan does not include an API key.
  • Free storage is limited to 0.1 GB and five apps.
  • Enterprise features require a separate plan with custom terms.

• Amazon Bedrock Knowledge Bases9.3/10 · Paid

  A deep, AWS-centered toolkit for production RAG over enterprise and structured data.

  Visit Amazon BedrockFull verdict →
• RAGFlow8.8/10 · Free plan

  Deep-document RAG with hybrid retrieval, citations, workflows, and self-hosting.

  Visit RAGFlowFull verdict →