AI-Powered WhatsApp Chatbot for Text, Voice, Images, and PDF with RAG
n8n template #4827Summary
Use templateWho is this for? This template is designed for internal support teams, product specialists, and knowledge managers in technology companies who want to automate ingestion of product documentation and enable AI-driven, retrieval-augmented question answering via WhatsApp. What problem is this workflow solving? Support agents often spend too much time manually searching through lengthy documentation, leading to inconsistent or delayed answers. This solution automates importing, chunking, and indexing product manuals, then uses retrieval-augmented generation (RAG) to answer user queries accurately and quickly with AI via WhatsApp messaging. What these workflows do Workflow 1: Document Ingestion &
Hand off to your agent
Prompt
Help me set up the n8n workflow "AI-Powered WhatsApp Chatbot for Text, Voice, Images, and PDF with RAG" (https://n8n.io/workflows/4827). It uses: HTTP Request, Google Docs, WhatsApp Business Cloud, Code, AI Agent, Embeddings OpenAI, OpenAI Chat Model, Simple Memory, Recursive Character Text Splitter, Default Data Loader, OpenAI, MongoDB Atlas Vector Store. Import the template JSON into my n8n instance, list every credential I need to create, and walk me through testing it.
Paste into Claude Code and it will do the rest.
Apps and nodes
HTTP RequestGoogle DocsWhatsApp Business CloudCodeAI AgentEmbeddings OpenAIOpenAI Chat ModelSimple MemoryRecursive Character Text SplitterDefault Data LoaderOpenAIMongoDB Atlas Vector Store
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