Flowise

Flowise is an open-source low-code platform that enables users to build customized Large Language Model (LLM) applications through visual node-based interfaces without requiring extensive programming knowledge or technical expertise. This drag-and-drop framework provides pre-built components for language models, vector databases, document loaders, and processing chains that can be visually connected to create sophisticated AI workflows and conversational applications. Flowise incorporates integration capabilities with popular LLM providers including OpenAI, Anthropic, Cohere, and self-hosted models through standardized API connections and authentication mechanisms. The platform supports retrieval-augmented generation architectures, conversational memory systems, and multi-modal processing capabilities that enable users to build context-aware chatbots, document analysis tools, and intelligent search applications. Advanced features include real-time chat interfaces, API endpoint generation, and deployment options that transform visual workflows into production-ready applications accessible through web interfaces or programmatic APIs. Flowise utilizes React-based frontend architecture with Node.js backend services that provide scalable execution environments for LLM applications. This platform is essential for organizations seeking to democratize AI development, enable rapid prototyping of LLM applications, and reduce technical barriers for business users who want to leverage conversational AI capabilities without deep technical implementation requirements.