Automated Email Analysis and Response System

This workflow automates the process of analyzing incoming emails, categorizing their content, and generating appropriate responses using AI models. It integrates email services, AI language models, and vector storage for advanced natural language understanding.

The process begins with a Gmail Trigger that activates whenever a new email is received. The email content is then sent to a Text Classifier node, which classifies the email’s nature or intent.

Based on this classification, an AI Agent interacts with different language models, including Ollama models for chat and language generation, to draft or analyze email responses. The workflow also employs a Simple Memory node to maintain context over multiple interactions.

Additionally, embeddings are generated from the email content using Ollama’s Embeddings model and stored in a Pinecone Vector Store for efficient retrieval and similarity searches, enabling more precise understanding and matching.

A Label node is used to assign labels or tags to the email, and finally, the processed information or response is sent back via Gmail, effectively automating email handling, summarization, or customer support responses.

This workflow is practical for customer service automation, content moderation, or any scenario requiring automated email processing with AI intelligence.