Flowise (8.3/10) vs LlamaIndex (8.4/10) — extremely close. Flowise stands out with drag-and-drop chatflow builder and 80+ integrations. LlamaIndex wins on advanced data indexing with LlamaIndex is cheaper to self-host. Your choice depends on whether you prioritize approach.
| Feature | Flowise | LlamaIndex |
|---|---|---|
| Primary Use Case | Open-source visual LLM chain and RAG builder with drag-and-drop interface for creating chatflows and AI agents | Data framework for connecting custom data sources to LLMs with advanced indexing, retrieval, and query engine capabilities |
| GitHub Stars | 28,000+ | 36,000+ |
| Integrations | 80+ | 300+ |
| Language | TypeScript | Python/TypeScript |
| License | Apache-2.0 | MIT |
| Min RAM | 512MB | 512MB |
| Docker Image Size | ~420MB | ~120MB |
| Self-Host Cost | $7/mo | $5/mo |
| Cloud Pricing | $35/mo | $35/mo |
| Ease of Use | 9/10 | 6.5/10 |
| AI Capabilities | 9/10 | 9/10 |
| Community Score | 7.5/10 | 8.5/10 |
| Contributors | 180+ | 1200+ |
Both tools are free to self-host. The real cost is infrastructure. Here's what you'll actually pay:
Skip the DevOps entirely. Deploy Flowise and LlamaIndex with one click, persistent storage included, auto-SSL, and subdomain routing — starting at $9.99/month.
Developers building RAG chatbots and LLM agent chains with minimal code using visual interface. Key features include drag-and-drop chatflow builder, 20+ llm providers native, 6+ vector store integrations, making it the go-to choice for AI development workflows.
Teams building data-intensive RAG applications who need advanced indexing and retrieval beyond simple vector search. It stands out with advanced data indexing, query engines (semantic, keyword, hybrid), rag pipeline optimization, making it ideal for LLM-powered applications.
You need the strengths of both. Flowise handles drag-and-drop chatflow builder while LlamaIndex provides advanced data indexing. Many production teams combine them via APIs for a complete AI stack.
Persistent storage. Auto-SSL. Subdomain routing. No DevOps required.
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