Flowise
7.2#1 in multi agent systemsFrom $35 a monthFree planWebAPILinuxmacOS
VisitFlowise vs LlamaIndex
LlamaIndex
7.1#4 in llm application development frameworksFrom $50 a monthFree planWebAPILinuxSelf-hosted
VisitWhat both publish
| Fact | Flowise | LlamaIndex |
|---|---|---|
| Deployment | The product site describes cloud and on-premises deployment, while the repository provides npm and Docker installation instructions and self-host deployment options. | Enterprise customers can deploy LlamaParse in private VPCs, and the pricing page also lists SaaS or hybrid cloud deployment for Enterprise. |
| Integrations | Flowise documentation says it connects to 100+ sources, tools, vector databases, and memories, and lists LangChain, LlamaIndex, and Zapier Zaps integrations. | LlamaIndex documents community integrations for data loaders, agent tools, LLMs, vector stores, observability, and application frameworks. |
| Security | Documentation lists RBAC, SSO, encrypted credentials, secret managers, rate limiting, and restricted domains as security controls. | The pricing FAQ says LlamaParse is certified for SOC 2 Type II, GDPR, and HIPAA. |
| Support | The documentation lists community support and vendor support including SLA support and consultations; the sunset notice says official core team presence in Discord and GitHub concluded on August 31, 2026. | The listed support levels are community for Free, basic email support for Starter, priority Slack Connect for Pro, and dedicated support for Enterprise. |
Flowise plans
- FreeFree
- Starter$35 a month
- Pro$65 a month
LlamaIndex plans
- Starter$50 a month
- Pro$500 a month
- EnterprisePriced on request
- Free—
Pick Flowise if…
Flowise suits developers building AI assistants or agent workflows who want visual design tools and deployment choices. Its scheduled end of life and cessation of feature development are important considerations for teams evaluating long-term use.
Pick LlamaIndex if…
LlamaIndex is for developers and enterprises automating document workflows and knowledge work. Its parsing, extraction, classification, and RAG indexing capabilities suit teams building AI applications around document content.