Power AI + Human Conversations with Flowise
Visual AI Orchestration & Custom Pipelines
Flowise AI: Assistants vs. Chatflows vs. Agentflows 🔀
✦ Assistants: Beginner-Friendly AI Agents
In the Flowise ecosystem, Assistants are the most accessible way to create an AI Agent without needing to wire complex node graphs. You provide the assistant with instructions, equip it with tools, and upload files to serve as its knowledge base (RAG).
When deployed to your omnichannel inbox, Assistants function as highly capable conversational bots that can independently answer user queries, utilize tools when necessary, and maintain your brand's voice, making them perfect for rapid deployment.
✦ Chatflows: Flexible Single-Agent Systems
Chatflows offer a more flexible, node-based visual builder for constructing single-agent systems, chatbots, and advanced LLM pipelines. Instead of a simple interface, you manually link document loaders, vector stores, and memory nodes.
This level of control allows you to implement advanced retrieval techniques—like Graph RAG, custom rerankers, and specialized retrievers—ensuring highly accurate, grounded answers for complex customer support inquiries.
✦ Agentflows: Multi-Agent Orchestration
Agentflows represent the most advanced builder in Flowise, acting as a superset of both Chatflows and Assistants. They are designed for complex workflow orchestration, including multi-agent systems where several specialized AI agents collaborate to solve a single user query.
During a customer conversation, an Agentflow can dynamically route tasks—for example, having one agent fetch live shipping data while another calculates a refund—and synthesize a cohesive response before replying to the customer.
⚖️ Which Should You Use in Your Inbox?
Choosing the right Flowise setup depends entirely on the complexity of your customer support needs:
- Use Assistants when you want to quickly deploy a knowledgeable AI agent with basic tools and document retrieval without managing complex visual nodes.
- Use Chatflows for single-agent systems where you need granular control over the data pipeline, such as implementing advanced RAG and custom rerankers for high-accuracy FAQs.
- Use Agentflows when your support inbox requires a dynamic team of AI agents capable of autonomous decision-making, cross-platform tool execution, and complex multi-step orchestration.
By connecting Flowise to your omnichannel inbox, you get the absolute best of both worlds: rapid, visually-orchestrated AI deployments on the front end, backed by reliable, seamless human escalation when the conversation demands a personal touch.