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Head-to-head · LLM Application Development Frameworks

Spring AI vs Langflow

  • Updated Oct 2026
  • Both researched from official sources
  • 4 checks side by side
Higher score Spring AI #4 in LLM Application Development Frameworks 9.0/10 Free plan Free plan✓ 3 of 5 features Visit Spring AI
Langflow #7 in LLM Application Development Frameworks 8.7/10 Free plan Free plan✓ 0 of 5 features Visit Langflow

Spring AI leads on 3 checks, Langflow on 0, and 1 is 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 scoreSpring AI · 9.0/10
  • Free planboth
  • Most featuresSpring AI · 3 of 5

Spring AI scores higher on our rubric for llm application development frameworks: 9.0 against 8.7 out of 10; our editors rank them #4 and #7.

Spring AI offers rag support; Langflow doesn't publish it. Spring AI offers agent and tool use; Langflow doesn't publish it. Spring AI offers prompt optimization; Langflow doesn't publish it.

Spring AI is the better fit for java teams building RAG and AI applications. Langflow is the better fit for visual prototyping and deployment of AI flows.

  • Spring AI fits best

    Java teams building RAG and AI applications

  • Langflow fits best

    Visual prototyping and deployment of AI flows

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. How we rank.

Side by side

Feature Spring AI 9.0/10 Visit ↗ Langflow 8.7/10 Visit ↗
At a glance
Editor score 9.0 8.7
Ranking #4 in LLM Application Development Frameworks #7 in LLM Application Development Frameworks
Best for Java teams building RAG and AI applications Visual prototyping and deployment of AI flows
Pricing model Free Free
Starting price Not published Not published
Free plan ✓ ✓
Free trial — —
Deployment Self-hosted Cloud, Self-hosted, Desktop
Support Docs, Community Community, Docs
Integrations 16 integrations 12 integrations
Built for Small business, Mid-market, Enterprise Solo, Small business, Mid-market, Enterprise
Features Spring AI 3/5 · Langflow 0/5
RAG support ✓ (best) Not published
Agent and tool use ✓ (best) Not published
Workflow graphs Not published Not published
Prompt optimization ✓ (best) Not published
JavaScript/TypeScript SDK Not published Not published
Specs
Primary language Java Not published
Open-source license Apache-2.0 Not published
Our review
Pros
  • Portable APIs cover multiple model providers and synchronous or streaming use.
  • RAG advisors, document ETL, evaluation, and observability support end-to-end workflows.
  • Connects to a broad range of model providers and vector stores.
  • Connect models, tools, components, and outputs in a visual flow builder
  • Build multi-agent and RAG workflows with human approval steps
  • Deploy through APIs, Docker, Kubernetes, cloud, self-hosting, or desktop
Cons
  • Java and Spring focus makes it less suited to teams using other application stacks.
  • Self-hosted deployment puts application operation on the adopting team.
  • Framework code requires developers to assemble and maintain the application.
  • Voice mode is not available in Langflow Desktop
  • Provider integrations are delivered through installable extensions
  • Support channels are community and documentation
Our verdict

Spring AI is an open-source Java framework for building AI-powered applications in the Spring ecosystem. It is aimed at teams that want to connect models, enterprise data, and application APIs while keeping model-provider implementations…

Read the review →

Langflow is an open-source, Python-powered framework for building, testing, and deploying AI agents and LLM applications. Its visual flow builder connects models, components, tools, and outputs, making it relevant to developers and teams…

Read the review →
  1. Spring AILLM Application Development Frameworks 9.0Free plan
  2. LangflowLLM Application Development Frameworks 8.7Free plan

Strengths and trade-offs

  • Spring AI — where it wins

    • Portable APIs cover multiple model providers and synchronous or streaming use.
    • RAG advisors, document ETL, evaluation, and observability support end-to-end workflows.
    • Connects to a broad range of model providers and vector stores.

    Where it doesn't

    • Java and Spring focus makes it less suited to teams using other application stacks.
    • Self-hosted deployment puts application operation on the adopting team.
    • Framework code requires developers to assemble and maintain the application.

  • Langflow — where it wins

    • Connect models, tools, components, and outputs in a visual flow builder
    • Build multi-agent and RAG workflows with human approval steps
    • Deploy through APIs, Docker, Kubernetes, cloud, self-hosting, or desktop

    Where it doesn't

    • Voice mode is not available in Langflow Desktop
    • Provider integrations are delivered through installable extensions
    • Support channels are community and documentation

More comparisons

All LLM application development frameworks comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update