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Head-to-head · Retrieval-Augmented Generation Tools

Haystack vs LangChain

  • Updated Oct 2026
  • Both researched from official sources
  • 5 checks side by side
Higher score Haystack #2 in Retrieval-Augmented Generation Tools 9.2/10 Open source ✓ 4 of 4 features Visit Haystack
LangChain #3 in Retrieval-Augmented Generation Tools 9.1/10 Free plan Free plan✓ 2 of 4 features Visit LangChain

Haystack leads on 0 checks, LangChain on 0, and 5 are even. Who comes out ahead on the 5 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreHaystack · 9.2/10
  • Free planonly LangChain
  • Most featuresHaystack · 4 of 4

Haystack scores higher on our rubric for retrieval-augmented generation tools: 9.2 against 9.1 out of 10; our editors rank them #2 and #3.

Haystack is the better fit for developers building flexible RAG pipelines. LangChain is the better fit for programmable RAG and agent applications.

  • Haystack fits best

    Developers building flexible RAG pipelines

  • LangChain fits best

    Programmable RAG and agent applications

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Side by side

Feature Haystack 9.2/10 Visit ↗ LangChain 9.1/10 Visit ↗
At a glance
Editor score 9.2 9.1
Ranking #2 in Retrieval-Augmented Generation Tools #3 in Retrieval-Augmented Generation Tools
Best for Developers building flexible RAG pipelines Programmable RAG and agent applications
Pricing model Free Free
Starting price Open source Free plan
Free plan Not checked yet ✓ (best)
Free trial — —
Deployment Self-hosted Self-hosted
Support Community, Docs Community, Docs
Integrations 183+ integrations 1,000+ integrations
Built for Solo, Small business, Mid-market, Enterprise Solo, Small business, Mid-market, Enterprise
Features Haystack 4/4 · LangChain 2/4
Source citations ✓ ✓
Hybrid search ✓ ✓
Result reranking ✓ (best) Not checked yet
RAG workflow builder ✓ (best) Not checked yet
Specs
Source connectors Not checked yet Not checked yet
Deployment Self_hosted Self_hosted
Maximum file size Not checked yet Not checked yet
Our review
Pros
  • 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
  • Covers loading, splitting, embeddings, storage, retrieval, and cited answers
  • Connects models, tools, databases, and data sources across major providers
  • Supports durable workflows, checkpoints, approvals, and context management
Cons
  • 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
  • Requires developers to assemble and operate the application stack
  • Self-hosted deployment places infrastructure responsibilities on the team
  • LangChain itself does not provide LangSmith's tracing and deployment workflows
Our verdict

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 →

LangChain is an open-source framework for developers building LLM applications, retrieval-augmented generation systems, and agents. It is suited to teams that want application-code control over document processing, retrieval, model calls,…

Read the review →
  1. HaystackRetrieval-Augmented Generation Tools 9.2Open source
  2. LangChainRetrieval-Augmented Generation Tools 9.1Free plan

Strengths and trade-offs

  • 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

  • LangChain — where it wins

    • Covers loading, splitting, embeddings, storage, retrieval, and cited answers
    • Connects models, tools, databases, and data sources across major providers
    • Supports durable workflows, checkpoints, approvals, and context management

    Where it doesn't

    • Requires developers to assemble and operate the application stack
    • Self-hosted deployment places infrastructure responsibilities on the team
    • LangChain itself does not provide LangSmith's tracing and deployment workflows

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