Flowise
FlowiseAI
FreemiumHaystack
deepset
FreeFlowise vs Haystack: Full Comparison (2026)
Flowise is open-source no-code llm flow builder for building ai apps visually. Haystack is open-source framework for production nlp and rag pipelines. Use the breakdown below to find the right fit for your needs.
This page presents factual information sourced from publicly available vendor documentation and product pages. AIHub does not endorse either product. The right tool depends on your specific use case, team, and requirements — we recommend evaluating both tools directly before making a decision.
Side-by-Side Overview
Pricing Model
Flowise
FreemiumHaystack
FreeAPI Access
Flowise
AvailableHaystack
Not availablePlatforms
Flowise
Web (cloud), Docker (self-hosted), npm, Railway, RenderHaystack
WebIntegrations
Flowise
10 integrationsHaystack
—Vendor
Flowise
FlowiseAIHaystack
deepsetCategory
Flowise
FrameworksHaystack
FrameworksLaunch
Flowise
2023Haystack
—| Feature | Flowise | Haystack |
|---|---|---|
| Pricing Model | Freemium | Free |
| API Access | Available | Not available |
| Platforms | Web (cloud), Docker (self-hosted), npm, Railway, Render | Web |
| Integrations | 10 integrations | — |
| Vendor | FlowiseAI | deepset |
| Category | Frameworks | Frameworks |
| Launch | 2023 | — |
About Flowise
Flowise is an open-source, low-code tool for building LLM applications and AI agent workflows using a visual drag-and-drop interface. Built on LangChain under the hood, it lets developers and non-developers assemble RAG pipelines, chatbots, and agent chains without writing code. Self-hostable with Docker, it has become one of the most popular tools for visually prototyping and deploying LLM apps.
Designed For
- RAG chatbot building
- Visual LLM workflow prototyping
- Agent pipeline creation
- Document Q&A apps
About Haystack
Haystack by deepset is an open-source framework for building NLP applications, RAG systems, and LLM pipelines. Features a pipeline architecture with 60+ integrations including all major vector databases and LLM providers.
Designed For
- Document Q&A
- RAG pipelines
- Semantic search
- LLM application development
Strengths & Limitations
Flowise
Strengths
- Drag-and-drop visual builder
- LangChain components included
- Self-hostable for free
- Built-in vector store integrations
- Embed chatbots on websites
- Active community
Limitations
- Less flexible than pure code
- Can hit complexity limits for large flows
- Cloud version needed for non-technical sharing
- Performance overhead vs raw LangChain
Haystack
Strengths
- Production-ready
- 60+ integrations
- Pipeline architecture
Limitations
- Steeper learning curve
- Less popular than LangChain
Frequently Asked Questions
What is the difference between Flowise and Haystack?
Flowise is open-source no-code llm flow builder for building ai apps visually, while Haystack is open-source framework for production nlp and rag pipelines. Flowise is designed for Non-developers building AI apps, Agencies prototyping AI solutions; Haystack is designed for Frameworks. The right fit depends on your specific requirements.
How do the pricing models compare?
Flowise is available under a Freemium model. Haystack is available under a Free model. Flowise's entry tier starts at $0. Always verify pricing on each vendor's official website as it may change.
What integrations does each tool support?
Flowise integrates with OpenAI, Anthropic, Ollama, Pinecone. Haystack integrates with various tools. Check each vendor's documentation for the full and current list.
How do I choose between Flowise and Haystack?
Consider your team's technical requirements, budget, existing tooling, and use case before deciding. We recommend signing up for free trials or demos of both tools where available, and consulting each vendor's documentation. AIHub provides this comparison for informational purposes only.
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Data sourced from public vendor documentation. Pricing, features, and availability may change. Always verify on official vendor websites before making purchasing decisions. AIHub is not affiliated with any of the listed vendors.