AI / LLM · PRO TIER

Flowisepro

Flowise is the low-code drag-and-drop builder for LLM applications — chatbots, agents, RAG pipelines, document-Q&A — built on top of LangChain. Visual canvas where you wire nodes (LLM, vector store, retriever, tool, memory) into a runnable flow, then expose it as a REST API or embeddable chat widget.

Install via WHMCS → Visit flowiseai.com ↗

🤖 AI / LLM Min 1024 MB RAM Port 3000 (http) Tier pro

// What it is

A closer look.

If LangChain is the framework, Flowise is the IDE.

// Use cases

What it's for.

Concrete scenarios where teams pick Flowise over the SaaS alternative.

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Customer-facing chatbots

embed a Flowise-built bot on your marketing site in minutes

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Internal RAG over docs

drag a PDF loader → embedder → Qdrant retriever → LLM, deploy in an afternoon

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AI agent prototyping

visually wire tool-using agents (web search, calculator, custom HTTP)

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API-as-a-product

turn a flow into a versioned /predict endpoint with API-key auth

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Education & demos

teach LangChain concepts visually before going to code

// Who it's for

Built for these teams.

If your team profile matches one of these, Flowise is a strong fit out of the box.

Profile A

ML engineers

prototyping LangChain pipelines visually before refactoring to code

Profile B

Solo developers

shipping AI-powered features without writing the chain orchestration themselves

Profile C

Education / training providers

teaching RAG + LLM concepts to engineers via visual flows

Profile D

Agencies

building customer-facing chatbots for clients quickly with embeddable widgets

Profile E

Product teams

exposing AI logic as an API endpoint without standing up a Python backend

// Differentiators

Why teams pick Flowise.

When evaluating self-hosted options for this category, here are the dimensions on which Flowise consistently lands above the alternatives.

✓LangChain-native — every node maps 1:1 to LangChain primitives, no abstraction tax
✓Multi-tenant marketplace flows — share/import flows as JSON
✓Embeddable widget — <script> tag for marketing-site bots
✓API-key auth + rate limiting — built in
✓30+ vector store integrations — (Qdrant, Chroma, Weaviate, Milvus, pgvector, …)
✓MIT license, Apache 2.0 dependencies — clean for commercial use

// Integrations

Connects to.

The stack you'll plug Flowise into — services, protocols, and adjacent apps in the BluixApps catalog.

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Vector stores

Qdrant, Chroma, Weaviate, Milvus, pgvector, Pinecone, MongoDB, Redis

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LLM providers

OpenAI, Anthropic, Cohere, Hugging Face, Mistral, Ollama, custom OpenAI-compatible

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Document loaders

PDF, DOCX, web scrapers, GitHub, Notion, S3, Confluence, Airtable

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Embeddings

OpenAI, Cohere, Hugging Face, local sentence-transformers, FastEmbed

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Agent tools

web search (SerpAPI, Brave), calculator, code interpreter, custom HTTP, MCP servers

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Embeddable widget

<script> tag with token-gated access for marketing sites

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Webhook + REST API

every flow becomes an authenticated /predict endpoint

// Adoption & deployment

Notable users & community

35k+ GitHub stars
Featured in "production LLM stack" articles on Towards Data Science, Medium AI publications
Active Discord, weekly releases, strong RAG-tutorial pipeline
Common pairing with Qdrant + Ollama in self-hosted AI tutorials
MIT-licensed core gives clean commercial use for agencies + product teams

What we ship

Docker compose: Flowise + Postgres for flow persistence
Pinned flowiseai/flowise:2.2.4, monthly upstream tracking
Admin user with random password on first boot, surfaced in install report
Pre-configured to detect Ollama/Open WebUI on same VPS for zero-config LLM hookup
Vector store nodes pre-installed for Qdrant / Chroma when those apps also deployed
SSL via Let's Encrypt; embeddable widget URL points to HTTPS hostname
Backup hook covers Postgres + flow JSON exports