Build a Multichannel RAG based AI Chatbot with Custom Knowledge Base in 20 mins

Andy Lo writes:

In this video, learn how to use n8n to build a powerful internal knowledge AI chatbot and AI agent that your team can access through WhatsApp, Slack, and Telegram—no coding required! This AI system leverages Deepseek for the chat model, OpenAI for embeddings, and Pinecone as the vector database to deliver seamless and efficient knowledge management.

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This is such a smart use of n8n—connecting multiple platforms like WhatsApp, Slack, and Telegram into a single AI-driven knowledge system really shows the power of automation in internal workflows. I especially like the idea of using DeepSeek as the chat model paired with Pinecone for fast retrieval—it feels like a practical solution for teams who want real-time, context-aware support without building from scratch.

Also, the no-code approach is a big win. So many teams want this kind of functionality but don’t have the bandwidth or resources to dive into custom coding. n8n makes it much more approachable.

I’ve recently been exploring different AI-driven setups and how tools like DeepSeek integrate into workflows. It’s amazing how much you can accomplish with the right combination of services—and honestly, having something like this running across multiple chat platforms is a big productivity boost.

Would love to hear how others are fine-tuning their RAG pipelines or managing knowledge flow inside their orgs!