Create a Conversational WhatsApp AI Assistant with Memory Using Gemini AI and Pinecone
This workflow sets up an intelligent AI assistant for WhatsApp that responds naturally using Google Gemini AI, remembers past conversations, and accesses a knowledge base for FAQs. It leverages Pinecone for memory storage and OpenAI for embeddings.
This workflow integrates multiple services to create a sophisticated AI assistant for WhatsApp. It uses Google Gemini AI for natural conversation capabilities, Pinecone for storing conversation history and knowledge base, and OpenAI for generating memory vectors. The assistant is capable of responding in the user's language, maintaining persistent context, and organizing memory for each user. It is scalable, cost-effective, and can be extended with additional features like CRM integrations and analytics.
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How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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