AI yang mengalir

mengalir AI provides three distinct visual builders. Assistant is the most beginner friendly option, Chatflow handles single agent systems and advanced RAG configurations, and Agentflow manages multi agent orchestration with branching, looping, and routing logic. Users connect modular nodes on a canvas to assemble full AI pipelines. This removes the need for manual coding and slashes prototyping time from weeks down to hours.

Agentflow V2 lets you distribute tasks across multiple coordinated agents. Each agent can be assigned a distinct role, tools, and instructions. The system handles handoffs, conditional routing, and parallel execution. This is the feature that separates Flowise from simpler chatbot builders and puts it in direct competition with enterprise agent platforms.

Flowise makes it straightforward to build RAG applications by connecting document loaders, text splitters, vector stores, and retrievers on the canvas. It supports Graph RAG, rerankers, and custom retrieval chains. You can ingest data from PDFs, databases, APIs, and more, then ground your LLM responses in your own proprietary knowledge base.

Production AI systems need guardrails. Flowise includes a built in HITL mechanism that allows human reviewers to approve, reject, or modify agent actions before they execute. This is essential for regulated industries and any use case where automated decisions carry real business risk.

Every workflow execution is logged with full traces. Flowise integrates with Prometheus, OpenTelemetry, and other monitoring stacks. You can visually debug agent behaviour, track token usage, and stream logs to external systems. This gives engineering teams the visibility they need to run AI in production with confidence.

Once your flow is ready, Flowise generates REST API endpoints automatically. You can integrate these into any application using the TypeScript or Python SDK. The platform also provides a customisable embedded chat widget that drops into any website. This makes Flowise a genuinely full stack solution from prototype to production.