Intelligent WhatsApp Assistant Powered by AI and Vector Search
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Revolutionize customer interactions with an intelligent WhatsApp assistant. This workflow leverages AI and vector search to understand and respond to customer queries, providing instant, context-aware support with conversation memory.
About This Workflow
This powerful n8n workflow transforms your WhatsApp into a smart customer support channel. It's designed to process incoming messages of various types (text, audio, images, documents), convert them into vector embeddings, and perform lightning-fast searches against a knowledge base stored in MongoDB. Powered by OpenAI's advanced GPT-4o-mini model, it delivers highly relevant and contextualized answers. Crucially, it maintains conversation memory, ensuring a seamless and personalized experience for your users by remembering past interactions within a session. The workflow also includes a component to ingest and index product documentation from Google Docs, making your knowledge base readily searchable and up-to-date.
Key Features
- Advanced AI Understanding: Utilizes GPT-4o-mini for sophisticated natural language processing.
- Vector-Based Knowledge Retrieval: Leverages MongoDB Atlas with vector search for instant, relevant information retrieval from your documentation.
- Multi-Modal Message Handling: Processes text, audio, image, and document inputs for comprehensive customer interaction.
- Persistent Conversation Memory: Maintains context across messages for a personalized user experience.
- Automated Documentation Indexing: Seamlessly imports and indexes product documentation from Google Docs.
How To Use
- Import & Index Documentation: Manually trigger the 'Google Docs Importer' node to fetch your product documentation. This data is then chunked and indexed into your MongoDB vector store.
- Configure WhatsApp Trigger: Set up your 'WhatsApp Trigger' node with your WhatsApp API credentials.
- AI Chat Model & Embeddings: Ensure your 'OpenAI Chat Model' and 'Embeddings OpenAI' nodes are correctly configured with your OpenAI API key.
- Knowledge Base Agent & Vector Search: Configure the 'Knowledge Base Agent' to use the 'OpenAI Chat Model' and the 'MongoDB Vector Search' node to point to your MongoDB Atlas instance and the correct collection/index.
- Conversation Memory: The 'Simple Memory' node will automatically manage conversation history based on the sender's WhatsApp ID.
- Execute and Test: Trigger the workflow manually to test the documentation import, or send a message to your WhatsApp number to interact with the AI assistant.
Apps Used
Workflow JSON
{
"id": "c82f81fa-c0bc-44e3-a9ef-2ccd320f0723",
"name": "Intelligent WhatsApp Assistant Powered by AI and Vector Search",
"nodes": 6,
"category": "Marketing",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: c82f81fa-c0bc...
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