Vellum vs FlowiseAI
Side-by-side comparison · Updated April 2026
| Description | Vellum Workflows is a powerful platform that allows users to quickly prototype and deploy sophisticated AI applications. It enables chaining of business logic, data, APIs, and dynamic prompts to create various AI-driven use cases such as chatbots, summarizations, content generation, and information extraction. The platform provides resources like case studies, guides, and model comparisons, ensuring users can bring LLM-powered features to production securely and efficiently. | Flowise is a powerful open-source low-code tool designed for developers to build customized Large Language Model (LLM) orchestration flows and AI agents. With Flowise, developers can easily extend and integrate LLM capabilities through APIs, SDKs, and embedded options while allowing for self-hosting on cloud platforms like AWS, Azure, and GCP. The tool boasts a strong developer-friendly environment with features such as Chatflow, LLM Orchestration, and over 100 integrations. Flowise is also backed by a supportive open-source community, making it an ideal choice for rapid development and deployment of LLM applications. |
| Category | AI Assistant | AI Assistant |
| Rating | No reviews | No reviews |
| Pricing | Free | N/A |
| Starting Price | Free | N/A |
| Plans |
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| Use Cases |
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| Tags | AIworkflowsbusiness logicdataAPIs | low-codedeveloperscustomized LLM orchestration flowsAI agentsAPIs |
| Features | ||
| Chaining of business logic with data and APIs | ||
| Dynamic prompt handling | ||
| Support for multiple AI models | ||
| Custom model integrations | ||
| Priority support with SLAs | ||
| Role-Based Access Control (RBAC) | ||
| Single Sign-On (SSO) | ||
| Virtual Private Cloud (VPC) installations | ||
| Case studies and guides | ||
| Free tools and resources | ||
| Open-source low-code tool | ||
| Support for self-hosting on AWS, Azure, and GCP | ||
| Over 100 integrations including Langchain and LlamaIndex | ||
| Chatflow and LLM Orchestration | ||
| APIs, SDKs, and Embedded Chat functionalities | ||
| Support for air-gapped environments with local LLMs | ||
| Developer-friendly with easy extensions | ||
| Strong open-source community | ||
| Autonomous agent creation | ||
| Rapid development and deployment capabilities | ||
| View Vellum | View FlowiseAI | |