Flowise
App in the BluixApps catalog
What it is
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.
If LangChain is the framework, Flowise is the IDE.
What it's for
- Customer-facing chatbots — embed a Flowise-built bot on your marketing site in minutes
- Internal RAG over docs — drag a PDF loader → embedder → Qdrant retriever → LLM, deploy in an afternoon
- AI agent prototyping — visually wire tool-using agents (web search, calculator, custom HTTP)
- API-as-a-product — turn a flow into a versioned
/predictendpoint with API-key auth - Education & demos — teach LangChain concepts visually before going to code
Who it's for
- ML engineers prototyping LangChain pipelines visually before refactoring to code
- Solo developers shipping AI-powered features without writing the chain orchestration themselves
- Education / training providers teaching RAG + LLM concepts to engineers via visual flows
- Agencies building customer-facing chatbots for clients quickly with embeddable widgets
- Product teams exposing AI logic as an API endpoint without standing up a Python backend
Why teams pick Flowise over 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
- Vector stores — Qdrant, Chroma, Weaviate, Milvus, pgvector, Pinecone, MongoDB, Redis
- LLM providers — OpenAI, Anthropic, Cohere, Hugging Face, Mistral, Ollama, custom OpenAI-compatible
- Document loaders — PDF, DOCX, web scrapers, GitHub, Notion, S3, Confluence, Airtable
- Embeddings — OpenAI, Cohere, Hugging Face, local sentence-transformers, FastEmbed
- Agent tools — web search (SerpAPI, Brave), calculator, code interpreter, custom HTTP, MCP servers
- Embeddable widget —
<script>tag with token-gated access for marketing sites - Webhook + REST API — every flow becomes an authenticated
/predictendpoint
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
Tips & operations
- Put Flowise behind a CDN when you embed widgets — public traffic hits your origin every page-load otherwise
- Switch to Postgres for multi-instance —
DATABASE_TYPE=postgres; default SQLite breaks under concurrent writes - Rate-limit API keys — a public widget without per-key limits can run up your OpenAI bill in hours
- Rotate keys regularly — generate distinct API keys per consumer (one per embed location)
- Test in dev with cheap LLM — wire Ollama local for prototyping, swap to GPT-4 only at production deploy
- Persist
/root/.flowise— flows + credentials live here; mount on a volume from day one
What we ship in BluixApps
- 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
Get this app — pick a BluixApps plan
Same catalog. Scaling tenant isolation, white-label and support tier.
| Tier | Tenants | Catalog | Support | White-label | Monthly | |
|---|---|---|---|---|---|---|
| Stacks | 1 | 19 curated stacks | Standard | — | $19/mo | DetailDeploy |
| Starter | 10 | Full catalog | Standard | +$15–25/mo | $49/mo | DetailDeploy |
| Pro | 25 | Full catalog | Priority bugfix | +$15–25/mo | $149/mo | DetailDeploy |
| Growth | 100 | Full catalog | Priority bugfix | +$15–25/mo | $349/mo | DetailDeploy |
| Scale | 500 | Full catalog | 7-day window | +$15–25/mo | $799/mo | DetailDeploy |
| Enterprise | Unlimited | Full catalog | Priority 7-day | Bundled | $1,499/mo | DetailDeploy |
