Flowise AI

Flowise is an open-source, low-code platform designed to help users build advanced AI agents and large language model (LLM) workflows visually using a drag-and-drop interface. It simplifies complex AI development by wrapping LangChain functionality into modular components, making it accessible to both beginners and experienced developers. With Flowise, users can create chat assistants, multi-agent systems, and autonomous workflows without writing extensive code. It supports flexible deployment options including cloud and on-premises, ensuring scalability and privacy.

Key Features:

• Visual Workflow Builder: Drag-and-drop interface for designing single and multi-agent AI workflows with conditional logic and parallel execution.
• Integrated RAG (Retrieval-Augmented Generation): Build AI assistants that fetch and ground knowledge from documents, databases, and APIs.
• Human-in-the-Loop (HITL): Enables human oversight and feedback within AI workflows to ensure accuracy and control.
• Comprehensive API & SDK: Extend AI applications with APIs, embedded chat widgets, and SDKs for Python and TypeScript integration.

Use Cases:

• Develop intelligent chatbots for customer support that can retrieve domain-specific information.
• Build multi-agent systems to orchestrate complex, multi-step AI tasks and workflows.
• Design AI copilots and internal assistants to automate business processes and decision making.

Technical Specifications:

• Supports over 100 LLMs, embeddings, vector databases, and various data sources for AI integration.
• Provides deployment flexibility with options for cloud, on-premises, and air-gapped environments.
• Offers execution tracing, observability tools (Prometheus, OpenTelemetry), and advanced monitoring for production readiness.