Home/Compare/haystack vs ragflow

Comparison

haystack vs ragflow

Verdict

Pick haystack if haystack is an open-source AI orchestration framework for building context-engineered LLM applications; pick ragflow if rAGFlow is a Retrieval-Augmented Generation (RAG) engine that integrates AI agents for enhanced context management in LLM applications, built using Go language and released under the Apache-2.0 license.

Markdown twin · haystack alternatives · ragflow alternatives

GraphCanon updated 2w

haystack logo

haystack

deepset-ai/haystack

26kpushed Aug 1, 2026
vs
ragflow logo

ragflow

infiniflow/ragflow

87kpushed Jul 31, 2026

Trust & integrity

Signalhaystackragflow
Maintenance
Very active (0d since push)
As of 2w · github_public_v1
Very active (0d since push)
As of 2w · github_public_v1
Provenance
Not a fork · Organization account
As of 2w · github_public_v1
Not a fork · Organization account
As of 2w · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 1mo · osv@v1
Published findings
As of 1mo · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

haystack
Open-source AI orchestration framework for building context-engineered LLM applications.
ragflow
Retrieval-Augmented Generation engine with agent capabilities

Stars

haystack
26k
ragflow
87k

Forks

haystack
3.0k
ragflow
10k

Open issues

haystack
108
ragflow
2.0k

Language

haystack
Python
ragflow
Go

Adopt for

haystack
Haystack is an open-source AI orchestration framework for building context-engineered LLM applications.
ragflow
RAGFlow is a Retrieval-Augmented Generation (RAG) engine that integrates AI agents for enhanced context management in LLM applications, built using Go language and released under the Apache-2.0 license.

Persona

haystack
-
ragflow
-

Runtime

haystack
-
ragflow
-

License

haystack
Apache-2.0
ragflow
Apache-2.0 License

Last pushed

haystack
Aug 1, 2026
ragflow
Jul 31, 2026

Categories

haystack
AI Agents, Data & Retrieval, LLM Frameworks
ragflow
AI Agents, Data & Retrieval

Trust and health

Open issues (now)

haystack
108
ragflow
2.0k

OSV dependency advisories

haystack
No lockfile (source not queried)
ragflow
Published findings

Full report

haystack
Trust report

Typed relationship

haystack alternative ragflowHaystack and ragflow both offer frameworks for building Retrieval-Augmented Generation (RAG) systems but differ in their approach. Haystack provides a broader set of tools for creating modular pipelines and managing various components like retrieval, routing, memory, and generation for diverse applications including RAG, while ragflow specifically focuses on integrating retrieval and generation to

Choose haystack if…

  • haystack is primarily Python; ragflow is Go.
  • Pricing: Free and open-source under the Apache-2.0 license, but users have to manage their own infrastructure and resources..
  • Requirements: Min 4 GB RAM; Requires Docker.
  • Haystack and ragflow both offer frameworks for building Retrieval-Augmented Generation (RAG) systems but differ in their approach. Haystack provides a broader set of tools for creating modular pipelines and managing various components like retrieval, routing, memory, and generation for diverse applications including RAG, while ragflow specifically focuses on integrating retrieval and generation to
  • Tags unique to haystack: agent, agents, ai, gemini.
  • Also covers LLM Frameworks.
  • You need explicit control over retrieval, routing, memory, and generation within your LLM application pipelines.

When NOT to use haystack

  • You require integration with specific proprietary tools or frameworks not supported by Haystack.
  • Your development team is not familiar with Python-based technologies, since Haystack primarily supports Python-based workflows.
  • You are looking for a completely managed service rather than an open-source framework that requires more hands-on configuration and customization.

Choose ragflow if…

  • ragflow is primarily Go; haystack is Python.
  • Requirements: Requires Docker; Docker image size is approximately 2 GB; build process requires access to external LLM and embedding services..
  • Haystack and ragflow both offer frameworks for building Retrieval-Augmented Generation (RAG) systems but differ in their approach. Haystack provides a broader set of tools for creating modular pipelines and managing various components like retrieval, routing, memory, and generation for diverse applications including RAG, while ragflow specifically focuses on integrating retrieval and generation to
  • Tags unique to ragflow: agentic-ai, context management, rag, retrieval-augmented-generation.
  • ragflow ships Docker support for self-hosted deployment.
  • - You need an integrated RAG system with AI agent capabilities for better context management in your applications.

When NOT to use ragflow

  • - If you specifically require a non-Golang developed RAG engine, as RAGFlow is built entirely in Go.
  • - Your setup does not support or need Docker (RAGFlow requires building a Docker image that is approximately 2 GB).
  • - You cannot use external LLM services and embedding services, as RAGFlow relies on them to function.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: haystack 26k · ragflow 87k (synced Aug 1, 2026).

Common questions

What is the difference between haystack and ragflow?
haystack: Open-source AI orchestration framework for building context-engineered LLM applications.. ragflow: Retrieval-Augmented Generation engine with agent capabilities. See the comparison table for live GitHub stats and shared categories.
When should I choose haystack over ragflow?
Choose haystack over ragflow when haystack is primarily Python; ragflow is Go; Pricing: Free and open-source under the Apache-2.0 license, but users have to manage their own infrastructure and resources.; Requirements: Min 4 GB RAM; Requires Docker; Haystack and ragflow both offer frameworks for building Retrieval-Augmented Generation (RAG) systems but differ in their approach. Haystack provides a broader set of tools for creating modular pipelines and managing various components like retrieval, routing, memory, and generation for diverse applications including RAG, while ragflow specifically focuses on integrating retrieval and generation to; Tags unique to haystack: agent, agents, ai, gemini; Also covers LLM Frameworks; You need explicit control over retrieval, routing, memory, and generation within your LLM application pipelines.
When should I choose ragflow over haystack?
Choose ragflow over haystack when ragflow is primarily Go; haystack is Python; Requirements: Requires Docker; Docker image size is approximately 2 GB; build process requires access to external LLM and embedding services.; Haystack and ragflow both offer frameworks for building Retrieval-Augmented Generation (RAG) systems but differ in their approach. Haystack provides a broader set of tools for creating modular pipelines and managing various components like retrieval, routing, memory, and generation for diverse applications including RAG, while ragflow specifically focuses on integrating retrieval and generation to; Tags unique to ragflow: agentic-ai, context management, rag, retrieval-augmented-generation; ragflow ships Docker support for self-hosted deployment; - You need an integrated RAG system with AI agent capabilities for better context management in your applications.
When should I avoid haystack?
You require integration with specific proprietary tools or frameworks not supported by Haystack. Your development team is not familiar with Python-based technologies, since Haystack primarily supports Python-based workflows. You are looking for a completely managed service rather than an open-source framework that requires more hands-on configuration and customization.
When should I avoid ragflow?
- If you specifically require a non-Golang developed RAG engine, as RAGFlow is built entirely in Go. - Your setup does not support or need Docker (RAGFlow requires building a Docker image that is approximately 2 GB). - You cannot use external LLM services and embedding services, as RAGFlow relies on them to function.
Is haystack or ragflow more popular on GitHub?
ragflow has more GitHub stars (86,541 vs 26,073). Stars measure visibility, not whether either tool fits your constraints.
Are haystack and ragflow open source?
Yes - both are open-source projects on GitHub (haystack: Apache-2.0, ragflow: Apache-2.0).
Where can I find alternatives to haystack or ragflow?
GraphCanon lists graph-backed alternatives at haystack alternatives and ragflow alternatives (haystack markdown twin, ragflow markdown twin), ranked by typed relationship edges rather than popularity votes.
Is there a machine-readable version of this comparison?
Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, haystack or ragflow?
haystack: Very active. ragflow: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
Where are the full trust reports for haystack and ragflow?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: haystack trust report; ragflow trust report.

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