Flowise Integration Guide

Flowise is an open-source drag-and-drop UI tool that lets you build custom LLM apps in minutes. This guide shows you how to integrate SambaCloud’s LLMs with Flowise to power your workflow agents with fast inference.

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Prerequisites

• A SambaCloud account and API key.
• Node.js v18.15.0 or later.

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Setup

1. Install Flowise.
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   npm install -g flowise
   
2. Start Flowise.
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   npx flowise start
   
3. Open your browser to http://localhost:3000. You should see the Flowise dashboard with the Chatflows panel.

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Usage

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Create a chat flow

In the Chatflows panel, click Add New in the upper-right corner.

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Add a SambaNova node

1. In the left sidebar, expand the Chat Models category.
2. Drag the ChatSambaNova node onto the canvas.

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Configure SambaNova credentials

1. Click the ChatSambaNova node on the canvas.
2. In the Credential dropdown, select Create New.
3. Enter your SambaCloud API key and click Save.
4. Select a model from the Model Name dropdown.

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Build your workflow

Connect additional nodes to create your workflow. Common configurations include:

• Basic chat: Connect the ChatSambaNova node directly to a chat output.
• RAG pipeline: Add document loaders, vector stores, and retrieval chains.
• Agents: Combine with tool nodes for agentic workflows.

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Test the chat

1. Click the Chat icon in the upper-right corner of the canvas.
2. Send a test message to verify the connection.

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Capabilities

Once connected, you can use SambaCloud models in various Flowise workflows:

• Conversational agents: Build chatbots with memory and context awareness.
• Document Q&A: Create RAG pipelines that ground responses in your documents.
• Tool-using agents: Connect external tools and APIs for agentic workflows.
• Custom chains: Design multi-step LLM pipelines with branching logic.

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Troubleshooting

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More information

• Flowise documentation
• SambaCloud API reference
• SambaCloud support