Advanced AI Demo (Presented at AI Developers #14 meetup)
Embeddings OpenAI
Gmail
HTTP Request
HTTP Request Tool
OpenAI Chat Model
Pinecone Vector Store
Question and Answer Chain
Recursive Character Text SplitterSSimple MemorySlack
Text Classifier
Vector Store RetrieverThis workflow was presented at the AI Developers meet up in San Fransico on 24 July, 2024. AI workflows Categorize incoming Gmail emails and assign custom Gmail labels. This example uses the Text Classifier node, simplifying this usecase. Ingest a PDF into a Pinecone vector store and chat with it (RAG example) AI Agent example showcasing the HTTP Request tool. We teach the agent how to check availability on a Google Calendar and book an appointment.
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Embeddings OpenAIGmailRelated workflows
See all AI Automation→AI: Summarize podcast episode and enhance using Wikipedia
The workflow automates the process of creating a summarized and enriched podcast digest, which is then sent via email. Note that to use this template, you need to be on n8n version 1.19.4 or later.
WSend weekly blended ad performance reports with Meta, Google Ads, GA4 and OpenAI
Quick overview This workflow runs every Monday at 8am to pull the last 7 days of performance from Meta Ads, Google Ads, and GA4, calculate blended KPIs, generate an OpenAI-powered narrative summary, email an HTML report via Gmail, and post an internal update (and errors) to Slack. How it works Runs every Monday at 8am on a scheduled trigger. Fetches the last 7 days of spend and engagement metrics from the Meta Ads Insights API, campaign cost and conversion metrics from the Google Ads API, and conversions and revenue by channel from the GA4 Reporting API. Combines the three datasets and calculates blended KPIs including total spend, total conversions, total revenue, and ROAS. Sends the computed metrics to an OpenAI chat model to generate a 3–4 sentence client-friendly performance summary with one risk and one recommendation. Builds a simple HTML report containing the KPIs and AI summary. Emails the HTML report to the client via Gmail and posts a brief confirmation with spend and ROAS to a Slack channel. If the workflow fails, posts an error alert message to an ops Slack channel. Setup Configure authentication for the HTTP requests to Meta Ads (access token), Google Ads (OAuth/access
Ask questions about a PDF using AI
The workflow first populates a Pinecone index with vectors from a Bitcoin whitepaper. Then, it waits for a manual chat message. When received, the chat message is turned into a vector and compared to the vectors in Pinecone. The most similar vectors are retrieved and passed to OpenAI for generating a chat response. Note that to use this template, you need to be on n8n version 1.19.4 or later.