Flowise

Flowise is an open-source, self-hosted platform for building LLM workflows visually. You drag and drop nodes — LLMs, vector stores, memory, tools — to create chatbots, RAG pipelines, and AI agents without writing backend code.

Flowise vs Alternatives

Quick Start

# Self-host with Docker (recommended)
docker run -d \
  -p 3000:3000 \
  -v flowise_data:/root/.flowise \
  --name flowise \
  flowiseai/flowise

# Open http://localhost:3000
# No account needed for self-hosted

What You Can Build

• RAG Chatbot — upload PDFs, Word docs, or URLs → chat with your documents
• AI Agent — give the LLM tools (web search, calculator, code execution) → autonomous task solving
• Conversational Flow — multi-turn chatbot with memory and session handling
• API Endpoint — expose any chatflow as a REST API or embeddable widget

Learning Path

1. Setup Flowise — Docker self-host or Flowise Cloud
2. Build a simple chatbot — ChatOpenAI node + conversation memory
3. Add RAG — PDF loader → text splitter → vector store → retrieval chain
4. Deploy as API — embed in your website or call from your app
5. Multi-agent — supervisor agent + specialized worker agents
6. Connect Ollama — replace OpenAI with a local model for full privacy

Supported LLM Providers

Flowise connects to OpenAI, Anthropic Claude, Google Gemini, Mistral, Cohere, Ollama (local), LM Studio, and any OpenAI-compatible endpoint — switchable per node without code changes.