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Head-to-head · LLM Application Development Frameworks

Spring AI vs Flowise

  • 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
Flowise #8 in LLM Application Development Frameworks 8.6/10 Free plan · paid from $35/mo Free plan✓ 0 of 5 features Explore Flowise

Spring AI leads on 3 checks, Flowise 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 8.6 out of 10; our editors rank them #4 and #8.

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

Spring AI is the better fit for java teams building RAG and AI applications. Flowise is the better fit for reviewing or maintaining existing Flowise projects.

  • Spring AI fits best

    Java teams building RAG and AI applications

  • Flowise fits best

    Reviewing or maintaining existing Flowise projects

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 ↗ Flowise 8.6/10 Visit ↗
At a glance
Editor score 9.0 8.6
Ranking #4 in LLM Application Development Frameworks #8 in LLM Application Development Frameworks
Best for Java teams building RAG and AI applications Reviewing or maintaining existing Flowise projects
Pricing model Free Free plan + paid
Starting price Not published $35/mo
Free plan ✓ ✓
Free trial — —
Deployment Self-hosted Cloud, Self-hosted
Support Docs, Community Community, Docs, Email
Integrations 16 integrations 6 integrations
Built for Small business, Mid-market, Enterprise Solo, Small business, Mid-market, Enterprise
Features Spring AI 3/5 · Flowise 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.
  • Visual builders cover assistants, chatflows, and agentflows
  • Supports retrieval, coordinated agents, approvals, and execution traces
  • Offers APIs, SDKs, CLI, and embedded chat
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.
  • Feature development ceased and the repository was archived in 2026
  • Official core-team operations ended on August 31, 2026
  • Integration descriptions name broad categories rather than specific products
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 →

Flowise was an open-source framework for building AI agents, chatbots, and LLM workflows with visual tools. Its Assistant, Chatflow, and Agentflow builders were aimed at developers and teams who wanted to assemble workflows visually while…

Read the review →
  1. Spring AILLM Application Development Frameworks 9.0Free plan
  2. FlowiseLLM Application Development Frameworks 8.6Free plan · paid from $35/mo

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.

  • Flowise — where it wins

    • Visual builders cover assistants, chatflows, and agentflows
    • Supports retrieval, coordinated agents, approvals, and execution traces
    • Offers APIs, SDKs, CLI, and embedded chat

    Where it doesn't

    • Feature development ceased and the repository was archived in 2026
    • Official core-team operations ended on August 31, 2026
    • Integration descriptions name broad categories rather than specific products

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