RAG

Drive chatbots across QQ, WeChat, Telegram, Discord, and more using visual workflows - no coding required. LangBot is an open-source instant messaging bot platform that connects AI workflow engines like Langflow, n8n, Dify, FastGPT, and Coze to platforms including WeChat, QQ, Feishu, DingTalk, Telegram, Discord, Slack, and LINE. This tutorial demonstrates how to use Langflow’s visual workflows as LangBot’s conversation engine. Why This Approach Works True Multi-Platform: One workflow powering 8+ messaging platforms simultaneously Visual Orchestration: Drag-and-drop conversation design with conditional branches, multi-turn dialogs, and external API calls Flexible AI Models: Support for OpenAI, Claude, Gemini, DeepSeek, and local models Fully Open Source: Both LangBot and Langflow are open-source projects for free deployment and customization Prerequisites Python 3.10+ Docker (recommended for quick deployment) OpenAI API Key or API keys for other LLM services Step 1: Deploy LangBot Launch with uvx in one command: ...

LangBot 4.6.0 introduces external knowledge base functionality, allowing users to integrate external knowledge retrieval services such as Dify and RAGFlow into conversation pipelines. This tutorial demonstrates how to combine Dify knowledge base with LangBot to enable intelligent conversations based on domain-specific knowledge. Feature Overview The external knowledge base feature enables LangBot to: Connect to various external knowledge retrieval services (Dify, RAGFlow, etc.) Provide professional answers based on domain-specific knowledge Flexibly extend knowledge retrieval capabilities through the plugin system Configure conveniently through WebUI without manual configuration file editing Prerequisites Before starting, you need: ...