FlowiseOpen-source visual builder for LLM apps, agents, and chatbots using drag-and-drop nodes.
Overview
Key features
- Drag-and-drop flow builder
- LangChain and LlamaIndex node support
- RAG and vector database integrations
- Agent and tool orchestration
- API endpoints and chat embed
- Docker-based self-hosting
Pricing
- Model
- Freemium
- Category
- Code Assistants
- Rating
- 4.5 / 5 (4)
Use cases
Prototype RAG chatbots visually
Connect LLM, embedding, and vector database nodes on the canvas to quickly build retrieval-augmented chatbots without writing extensive LangChain or LlamaIndex glue code.
Embed AI assistants in apps
Expose built flows as API endpoints or drop-in chat widgets to integrate custom AI assistants into existing websites and internal tools.
Orchestrate autonomous agents
Use agent and tool nodes to design multi-step workflows where LLMs call tools, query data, and make decisions across a visual pipeline.
Self-host LLM workflows on Docker
Deploy Flowise via Docker to keep model interactions, data, and flow logic under your team's control for privacy-sensitive or regulated environments.
Pros & Cons
Pros
- Open source and self-hostable
- Visual canvas speeds up prototyping
- Broad integrations with LLMs and vector stores
- Exports flows as APIs and embeddable widgets
Cons
- Complex flows can become hard to manage
- Requires some understanding of LLM concepts
- Self-hosting adds maintenance overhead
Battle record
Across 1 battle in the Pantheon.
Last battle
Reviews
Average from 4 ratings.
Sign in to leave a review.
Skeptical, then convinced
I went in skeptical — most tools in this space overpromise. It actually delivers on langChain and LlamaIndex node support, and broad integrations with LLMs and vector stores caught me off guard. still, I'd recommend giving it a real trial.
Compared a few options
Evaluated this against two competitors. Where it wins: docker-based self-hosting and visual canvas speeds up prototyping. Where it lags: complex flows can become hard to manage. On balance the feature set — especially drag-and-drop flow builder — justifies the 4 stars for our use case.
Solid for our team
We rolled this out across the team last quarter and broad integrations with LLMs and vector stores. Docker-based self-hosting fits neatly into how we already work, and docker-based self-hosting removed a step we used to do by hand. Requires some understanding of LLM concepts, which is the main caveat, but it has held up under daily use.
Use it every day
Honestly didn't expect to like it this much. LangChain and LlamaIndex node support is exactly what I needed, and visual canvas speeds up prototyping. I do wish requires some understanding of LLM concepts, but I reach for it almost every day now and it just clicks.
Q&A
How can I expose a Flowise workflow to my existing application?
Built flows can be exported as API endpoints, embedded chat widgets, or accessed via the provided TypeScript and Python SDKs, allowing easy integration into web, mobile, or backend services.
Asked by Bianca Ferreira · Nov 8, 2025
Which AI frameworks and vector databases does Flowise integrate with?
Flowise wraps popular frameworks such as LangChain and LlamaIndex, and supports a wide range of LLM providers, embeddings models, and vector databases, enabling RAG pipelines and tool orchestration without custom glue code.
Asked by Priya Nair · Oct 30, 2025
Can Flowise be self‑hosted, and what deployment options are available?
Yes, Flowise is open source and can be self‑hosted via Docker for on‑premise deployments. It also offers cloud deployments that scale horizontally with message queues and workers for production use.
Asked by Greta Nowak · Oct 17, 2025
What pricing tiers does Flowise offer for individual vs. team use?
Flowise has a free tier with up to 2 flows, 100 predictions per month, and 5 MB storage. The paid “Starter” plan costs $35/month and includes unlimited flows, 10 000 predictions per month, and 1 GB storage, plus custom branding and evaluation metrics.
Asked by Sami Virtanen · Aug 8, 2025
Ask a question
Code Assistants alternatives
Enia Code
Code Assistants
Proactive AI coding partner that surfaces issues and suggests fixes before you ask.
Hex Magic
Code Assistants
AI analytics copilot that writes queries, builds charts, and debugs notebooks inside Hex.
MicroGPT
Code Assistants
An AI-powered coding assistant enhancing developer productivity with real-time code suggestions.
bumpgen
Code Assistants
An AI agent that automates the upgrading of npm packages and resolves associated breaking changes in TypeScript projects.
Zest
Code Assistants
AI assistant designed to boost developer productivity in everyday coding workflows
Qodo
Code Assistants
AI-powered code integrity platform for generation, testing, and review
ReleasePad
Code Assistants
AI-generated release notes for fast-moving product teams
Low Code Platforms
Code Assistants
Compare and filter leading low-code builders by AI, CRM, automation, and workflow capabilities.
Trending now
Reducto AI
AI Agent Development Platforms
Document intelligence API that parses, splits, OCRs, and extracts structured data from complex PDFs, slides, and spreadsheets.
Biology AI
Education AI
Accurate Homework Help with Full Explanations
AdCrier
Marketing & Advertising
Sponsored answers, paid per click.
Pin AI
Workflow automation
Agentic AI recruiter that automates sourcing, screening, and outreach to accelerate hiring.