Flowise is a drag-and-drop UI for building LLM apps powered by LangChain.
What You Get for Free
- Visual builder — drag-and-drop nodes for LLM chains
- Chatflows — build conversational AI with memory
- RAG pipelines — document loaders, vector stores, retrievers
- AI agents — tool-using agents with reasoning
- 100+ integrations — OpenAI, Claude, HuggingFace, Pinecone, Qdrant
- Custom tools — create tools for agents with API calls
- API endpoints — every chatflow becomes an API
- Embedded chat — widget for websites
- Credentials — secure API key management
- Self-hosted — free, unlimited flows
Quick Start
npx flowise start
# Or Docker
docker run -d -p 3000:3000 flowiseai/flowise
# Access at http://localhost:3000
# Drag nodes → connect → test → deploy as API
Why Non-Engineers Love It
LangChain requires Python expertise. Custom AI apps need backend knowledge:
- No coding — build RAG apps by dragging nodes
- Visual debugging — see data flow through each step
- One-click API — deploy chatflows as REST endpoints
- Embedded chat — add AI chat to any website with a snippet
A marketing team wanted an AI chatbot for their product docs. Instead of hiring a developer, they built it in Flowise in 1 hour — uploaded docs to a vector store, connected Claude, embedded the chat widget on their site.
Need Custom Data Solutions?
I build production-grade scrapers and data pipelines for startups, agencies, and research teams.
Browse 88+ ready-made scrapers on Apify → — Reddit, HN, LinkedIn, Google, Amazon, and more.
Custom project? Email me: spinov001@gmail.com — fast turnaround, fair pricing.
