AI-Powered WhatsApp Bot with Google Drive and Pinecone Integration

Overview

This workflow creates an intelligent WhatsApp bot that leverages AI and vector search to answer user queries based on documents stored in Google Drive. It integrates OpenAI's language models and Pinecone's vector database for advanced information retrieval.

Key Features

• Ingests and processes documents from Google Drive
• Splits text into manageable chunks for efficient embedding
• Generates semantic embeddings using OpenAI
• Stores and retrieves document vectors via Pinecone
• Handles WhatsApp webhook events for real-time user interaction
• Maintains conversational context with memory buffers

Benefits

• Automates customer support and information delivery on WhatsApp
• Reduces manual response time and increases accuracy
• Scales effortlessly with growing document repositories
• Enhances user experience with AI-driven, context-aware answers

Use Cases

• Customer service automation for businesses using WhatsApp
• Internal knowledge base access for teams
• Automated FAQ bots for products or services

Integrations & Automation

The workflow connects Google Drive for document sourcing, OpenAI for language understanding, and Pinecone for fast vector-based search. It orchestrates these services through n8n, triggered by WhatsApp webhooks, ensuring seamless and timely responses.