# WhatsApp AI chatbot for support with file analysis and vector search
This automation enables companies to deploy an intelligent customer support system on WhatsApp capable of handling all message types — text, voice notes, images, and documents. Powered by LangChain and GPT-4o-mini, the bot understands queries, retrieves information from a MongoDB Atlas vector store, and replies with contextual awareness. Ideal for businesses with extensive documentation and high support volume.
## Who it´s for
- Companies offering customer support via WhatsApp
- SaaS products with rich documentation needing automated responses
- Technical support teams handling file-based inquiries
- Marketing teams automating client communication
- Developers implementing AI chatbots with memory and knowledge access
## What the automation does
- Listens for incoming WhatsApp messages of any type: text, audio, images, PDFs, and other documents
- Transcribes audio via OpenAI Whisper, analyzes images, and extracts text from documents
- Combines all inputs into a unified contextual prompt
- Routes the query to a LangChain agent with conversation memory and MongoDB Atlas vector search
- Generates accurate, context-aware responses using GPT-4o-mini
- Sends replies back to WhatsApp in text format
- Supports manual updates of the knowledge base via Google Docs
## What´s included
- Ready-to-use n8n workflow
- Logic for processing all message types (text, audio, images, documents)
- Integrations with WhatsApp, OpenAI API, MongoDB Atlas, Google Docs, and HTTP API
- Dialogue memory and vector search mechanism
- Basic setup and adaptation guide
## Requirements for setup
- n8n account (cloud or self-hosted)
- Access to WhatsApp Business API via provider (e.g., 360dialog)
- OpenAI API key (for transcription and response generation)
- MongoDB Atlas cluster with vector search enabled
- Google Docs containing documentation for knowledge import
- Configured HTTP nodes with Header Auth
## Benefits and outcomes
- Reduces support workload through automated answers to common questions
- Handles file-inclusive queries without manual intervention
- High response accuracy via vector search over documentation
- Preserves conversation context for natural interaction
- Fast knowledge base updates via Google Docs
- Scalability through low-code n8n platform
- Multimodal input support improves user experience
## Important: template only
Important: you are purchasing a ready-made automation workflow template only. Rollout into your infrastructure, connecting specific accounts and services, 1:1 setup help, custom adjustments for non-standard stacks and any consulting support are provided as a separate paid service at an individual rate. To discuss custom work or 1:1 help, contact via chat
WhatsApp chatbot
customer support via WhatsApp
AI chatbot with memory
audio processing in WhatsApp
image analysis in chat
document parsing in WhatsApp
MongoDB vector search
knowledge base search with AI
LangChain agent
support automation
GPT-4o-mini chatbot
multimodal chatbot
PDF processing in chat
voice message transcription
documentation-based Q A
WhatsApp and AI integration
n8n workflow
file handling in chatbot
No feedback yet