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Head-to-head · Retrieval-Augmented Generation Tools

Amazon Bedrock Knowledge Bases vs Haystack

  • Updated Oct 2026
  • Both researched from official sources
  • 4 checks side by side
Higher score Amazon Bedrock Knowledge Bases #1 in Retrieval-Augmented Generation Tools 9.3/10 Paid ✓ 3 of 4 features Visit Amazon Bedrock
Haystack #2 in Retrieval-Augmented Generation Tools 9.2/10 Open source ✓ 4 of 4 features Visit Haystack

Amazon Bedrock Knowledge Bases leads on 0 checks, Haystack on 0, and 4 are even. Who comes out ahead on the 4 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreAmazon Bedrock Knowledge Bases · 9.3/10
  • Most featuresHaystack · 4 of 4

Amazon Bedrock Knowledge Bases scores higher on our rubric for retrieval-augmented generation tools: 9.3 against 9.2 out of 10; our editors rank them #1 and #2.

On deployment, Haystack gives you Self_hosted where Amazon Bedrock Knowledge Bases offers Cloud.

Amazon Bedrock Knowledge Bases is the better fit for AWS-centric production RAG deployments. Haystack is the better fit for developers building flexible RAG pipelines.

  • Amazon Bedrock Knowledge Bases fits best

    AWS-centric production RAG deployments

  • Haystack fits best

    Developers building flexible RAG pipelines

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Side by side

Feature Amazon Bedrock Knowledge Bases 9.3/10 Visit ↗ Haystack 9.2/10 Visit ↗
At a glance
Editor score 9.3 9.2
Ranking #1 in Retrieval-Augmented Generation Tools #2 in Retrieval-Augmented Generation Tools
Best for AWS-centric production RAG deployments Developers building flexible RAG pipelines
Pricing model Paid Free
Starting price Not checked yet Open source
Free plan Not checked yet Not checked yet
Free trial — —
Deployment Cloud Self-hosted
Support Docs Community, Docs
Integrations 16 integrations 183+ integrations
Built for Small business, Mid-market, Enterprise Solo, Small business, Mid-market, Enterprise
Features Amazon Bedrock Knowledge Bases 3/4 · Haystack 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 Self_hosted
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
  • Composable pipelines support hybrid retrieval, reranking, and cited answers
  • Broad document conversion covers PDFs, DOCX, HTML, JSON, CSV, and images
  • Integrates with major model providers, vector databases, and monitoring tools
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
  • Self-hosted deployment places infrastructure responsibility on the development team
  • The framework has no metered SaaS pricing model
  • Hosted platform and enterprise support are separate deepset offerings
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 →

Haystack is an open-source Python framework for developers building RAG systems, AI agents, multimodal applications, semantic search pipelines, and other LLM applications. Its reusable components let teams assemble inspectable workflows…

Read the review →
  1. Amazon Bedrock Knowledge BasesRetrieval-Augmented Generation Tools 9.3Paid
  2. HaystackRetrieval-Augmented Generation Tools 9.2Open source

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

  • Haystack — where it wins

    • Composable pipelines support hybrid retrieval, reranking, and cited answers
    • Broad document conversion covers PDFs, DOCX, HTML, JSON, CSV, and images
    • Integrates with major model providers, vector databases, and monitoring tools

    Where it doesn't

    • Self-hosted deployment places infrastructure responsibility on the development team
    • The framework has no metered SaaS pricing model
    • Hosted platform and enterprise support are separate deepset offerings

More comparisons

All Retrieval-Augmented generation tools comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update