Is FlowiseAI completely free?

Yes, the core FlowiseAI platform is open-source and free to use if you self-host it locally or on your own servers. They also offer a managed Cloud version with monthly subscriptions for convenience.

Does it require coding knowledge?

It is designed as a low-code tool. While you can build many applications using just the visual drag-and-drop interface, having some understanding of LLM concepts (like prompts and embeddings) is helpful. Custom code can also be injected for advanced logic.

Which LLMs are supported?

FlowiseAI supports a wide range of models including OpenAI, Anthropic (Claude), Google (Gemini), Mistral, and local models via integrations like Ollama or LM Studio.

Can I use my own data with FlowiseAI?

Absolutely. You can connect various data loaders (PDF, CSV, Notion, Web Scraping) and store the information in vector databases like Pinecone, Chroma, or Weaviate to perform RAG.

How do I deploy a flow to my website?

Each flow provides an 'Embed' option which gives you a small snippet of JavaScript code. You can paste this into your website's HTML to show a chat window powered by your flow.

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Apps

Freemium

FlowiseAI

A visual, open-source low-code tool for building custom LLM orchestration flows, RAG pipelines, and AI agents through a drag-and-drop interface.

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Rating

Reviews

Upvotes

3 months ago

Listed

LLM Orchestration

No-Code

AI Agents

Open Source

LangChain

RAG

Workflow Automation

Developer Tools

Visual Builder

Tool information

Provider

FlowiseAI Inc.

Platforms

Web

Self-Hosted

Docker

Linux

macOS

Windows

Languages

English

API Available

Yes

Added to directory

3 months ago

Last updated

about 2 months ago

Rating

Not available

Pricing

Freemium

About FlowiseAI

What the tool does and who it's for

FlowiseAI is an open-source, low-code platform designed to simplify the creation of LLM-based applications. Built on top of popular frameworks like LangChain and LlamaIndex, it provides a drag-and-drop visual interface that allows developers and businesses to build complex AI workflows without writing extensive code. Users can create everything from simple RAG (Retrieval-Augmented Generation) pipelines to sophisticated multi-agent systems. The platform supports over 100 integrations, including various LLM providers (OpenAI, Anthropic, HuggingFace), vector databases (Pinecone, Milvus), and external tools like Slack and Google Search. FlowiseAI offers flexibility in deployment, allowing for local installation via npm, Docker-based self-hosting on cloud platforms (AWS, Azure, GCP), or a managed cloud service for rapid production use.

Key capabilities

Drag-and-Drop Canvas: Visually design AI workflows by connecting nodes representing LLMs, memory, and tools.

100+ Integrations: Connect with mainstream models like OpenAI and Anthropic, plus various vector stores and databases.

Multi-Agent Support: Build collaborative agent systems (Agentflow) that can reason and execute complex tasks.

RAG Construction: Easily set up Retrieval-Augmented Generation pipelines for document-based Q&A.

Customizable Chat Embeds: Integrate your built chatbots into websites with a few lines of code using an embeddable widget.

API & SDK Access: Automatically generates API endpoints for every flow and provides JavaScript/Python SDKs.

Self-Hosting: Deploy on-premise or on your own cloud infrastructure to maintain full control over data security.

Human-in-the-Loop: Built-in functionality to pause executions for human approval or feedback.

Pricing

Freemium — plans below

Open Source / Self-Hosted

Full access to visual builder
Unlimited flows
Self-hosted control
Community support

Cloud Starter

Cloud Pro

$65/mo

50,000 predictions per month
10 GB storage
5 users included
RBAC & Admin roles
Priority support

Enterprise

Contact sales

On-premise/Air-gapped deployment
SSO/SAML integration
99.99% SLA
Personalized support

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FAQ

FlowiseAI FAQs

Common questions about FlowiseAI