Automated Gmail Customer Support with AI-Powered Responses and Pinecone RAG

Overview

This workflow streamlines customer support by automatically responding to incoming Gmail messages using advanced AI and retrieval-augmented generation (RAG) techniques. It leverages Ollama LLM for natural language understanding and Pinecone for efficient knowledge retrieval.

Key Features

• Automated Email Trigger: Detects new customer support emails via Gmail Trigger.
• AI-Powered Classification: Uses a text classifier to categorize and route inquiries.
• Contextual Responses: Integrates Pinecone Vector Store for retrieving relevant knowledge base information.
• Ollama LLM Integration: Generates accurate, context-aware responses using Ollama's language models.
• Seamless Gmail Integration: Sends personalized replies directly from Gmail.

Benefits

• Faster Response Times: Reduces manual workload and accelerates customer support.
• Consistent Quality: Ensures high-quality, relevant answers using AI and knowledge retrieval.
• Scalable Support: Handles large volumes of inquiries without additional staff.

Use Cases

• Customer support teams seeking to automate email responses.
• Businesses aiming to improve support efficiency and customer satisfaction.
• Organizations with extensive knowledge bases needing intelligent retrieval for support.