플로우이즈 AI
7.8

플로우이즈 AI

  • 빌드 및 배포 AI 단 한 줄의 코드도 작성하지 않고 에이전트를 시각적으로 제어하세요
  • LLM 워크플로우 및 에이전트 시스템을 위한 오픈 소스 로우 코드 플랫폼

플로와이즈 AI 핵심 통찰력

가격 모델: 구독
프리 티어: 가능 (100 Predictions/month)
다음으로 표시됨: Low Code / No Code AI 에이전트 빌더
가격: $ 35 / 월부터
Drag and Drop Visual Builder:
다중 에이전트 오케스트레이션:
조각:
LLM Model Flexibility:
Self Hosting / On Premise Deployment:
고리 안에 갇힌 사람:
API, SDK and CLI Access:
Embedded Chatbot Widget:
MCP Client/Server Integration:
Vector Database Support:
SSO / SAML Authentication:
Native Workflow Automation:
Primary LLM Framework: LangChain / LlamaIndex

What is Flowise AI?

플로우이즈 AI

플로우이즈 AI is an open source, low code development platform that allows teams to build AI agents and LLM powered workflows using a visual drag and drop interface. Originally a standalone project, Flowise was acquired by Workday in August 2025 and continues to operate its cloud platform alongside its open source offering on GitHub. 

The platform supports over 100 LLMs, embedding models, and vector databases, making it one of the most flexible tools for 챗봇 만들기, RAG pipelines, and multi agent systems. Businesses use Flowise AI to prototype and ship AI applications rapidly without deep coding expertise. For teams that need full data sovereignty, Flowise supports self hosted and air gapped deployments alongside its managed cloud tiers.

Key Features of Flowise AI
시각적 드래그 앤 드롭 워크플로 빌더

플로와이즈 AI provides three distinct visual builders. Assistant is the most beginner friendly option, Chatflow handles single agent systems and advanced RAG configurations, and Agentflow manages multi agent orchestration with branching, looping, and routing logic. Users connect modular nodes on a canvas to assemble full AI pipelines. This removes the need for manual coding and slashes prototyping time from weeks down to hours.

Multi Agent Systems with Workflow Orchestration
Multi Agent Systems Flowise AI

Agentflow V2 lets you distribute tasks across multiple coordinated agents. Each agent can be assigned a distinct role, tools, and instructions. The system handles handoffs, conditional routing, and parallel execution. This is the feature that separates Flowise from simpler chatbot builders and puts it in direct competition with enterprise agent platforms.

Retrieval Augmented Generation (RAG) Pipeline
Retrieval Augmented Generation Flowise AI

Flowise makes it straightforward to build RAG applications by connecting document loaders, text splitters, vector stores, and retrievers on the canvas. It supports Graph RAG, rerankers, and custom retrieval chains. You can ingest data from PDFs, databases, APIs, and more, then ground your LLM responses in your own proprietary knowledge base.

Human in the Loop Review
Human in the Loop Review Flowise AI

Production AI systems need guardrails. Flowise includes a built in HITL mechanism that allows human reviewers to approve, reject, or modify agent actions before they execute. This is essential for regulated industries and any use case where automated decisions carry real business risk.

Observability and Execution Traces
Execution Traces Flowise AI

Every workflow execution is logged with full traces. Flowise integrates with Prometheus, OpenTelemetry, and other monitoring stacks. You can visually debug agent behaviour, track token usage, and stream logs to external systems. This gives engineering teams the visibility they need to run AI in production with confidence.

API, SDK and Embedded Chat Deployment
API, SDK and Embedded Flowise AI

Once your flow is ready, Flowise generates REST API endpoints automatically. You can integrate these into any application using the TypeScript or Python SDK. The platform also provides a customisable embedded chat widget that drops into any website. This makes Flowise a genuinely full stack solution from prototype to production.

플로와이즈 AI 가격 책정 계획

계획 이름비용주요 제한 사항 및 특징
무료$02 Flows, 100 Predictions/month, 5MB Storage, Community Support
스타터$ 35 / 월Unlimited Flows, 10,000 Predictions/month, 1GB Storage, Community Support
찬성$ 65 / 월50,000 Predictions/month, 10GB Storage, 5 Users (+$15/user), RBAC, Priority Support
Enterprise맞춤 가격On Premise / Air Gapped, SSO/SAML, LDAP, Audit Logs, SLA Support

플로와이즈 AI 오픈 소스 커뮤니티 및 생태계

The open source foundation of Flowise AI is one of its strongest assets. The project has amassed a large and active community on GitHub and Discord, with regular contributions from developers worldwide. The template marketplace offers pre-built flows that users can import and customise, accelerating time to value for common use cases like customer support bots, document Q&A systems, and SQL chatbots. 

Flowise also partners with vector database providers like Milvus, LLM platforms like AWS Bedrock, and frameworks like LangChain and LlamaIndex. This ecosystem means you rarely hit a dead end when integrating Flowise into an existing tech stack.

장단점

장점
  • Genuinely visual drag and drop.
  • 100+ LLM and model integrations.
  • Strong open source community backing.
  • Self hosted and air gapped options.
  • Built in HITL and observability.
  • Multi agent orchestration support.
단점
  • Steeper learning curve for Agentflow.
  • 별도의 모바일 애플리케이션은 없습니다.
  • Limited non AI workflow automation.

Best Flowise AI 대체

Low Code / No Code AI 에이전트 빌더오픈 소스 유연성기업 준비성
랭플로우✅ MIT Licensed, graph based builderModerate, less mature enterprise tier
디파이하다✅ MIT Licensed, strong app builderGood, managed cloud and self hosted
n8n✅ Fair code, broader workflow automationStrong, 400+ non AI 통합
음성 흐름❌ Proprietary, conversation design focusStrong, dedicated enterprise plans
평결 : 플로와이즈 AI wins on visual LLM flexibility and self hosting freedom.
  • 오픈 소스 AI builder trusted by Deloitte, AWS, and Accenture.
  • $ 35 / 월
  • Build a production ready AI agent in under an hour. No code required.
7.0
플랫폼 보안
9.0
무위험 & 환불
8.0
서비스 및 기능
7.0
고객 센터
7.8 전체 평가

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플로우이즈 AI
7.8/10
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