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
Trust & integrity
| Signal | haystack | ragflow |
|---|---|---|
| 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
- ragflow
- Trust report
Typed relationship
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 (deepset-ai/haystack) · observed Aug 1, 2026
- GitHub forks (deepset-ai/haystack) · observed Aug 1, 2026
- Last push (deepset-ai/haystack) · observed Aug 1, 2026
- License file (Apache-2.0) · observed Aug 1, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (infiniflow/ragflow) · observed Aug 1, 2026
- GitHub forks (infiniflow/ragflow) · observed Aug 1, 2026
- Last push (infiniflow/ragflow) · observed Jul 31, 2026
- License file (Apache-2.0) · observed Aug 1, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
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.