# Generate contextual recommendations from Slack with Pinecone: n8n workflow > Started by an event in a connected app, and works across Google Drive, Google Sheets, Pinecone and Slack. Source: https://millionrounds.com/workflow/generate-contextual-recommendations-from-slack-with-pinecone (Millionrounds; every figure on the page links to its filing or article) [Automation library](https://millionrounds.com/workflows) · [Chat assistants](https://millionrounds.com/workflows?category=Chat+assistants#library) # Generate contextual recommendations from Slack with Pinecone Started by an event in a connected app, and works across Google Drive, Google Sheets, Pinecone and Slack. It puts Azure OpenAI behind a retrieval step, so answers are drawn from documents you supply rather than from the model alone. 22 steps: large, and worth reading before you trust it with anything live. Large Calls a model: Azure OpenAI Retrieval [Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fgenerate-contextual-recommendations-from-slack-with-pinecone) **22 steps** Large: read it before trusting it with anything live **0** Branches: places the flow splits **0** Loops or waits **4** Services it connects to ## The flow Starts it 1 Model 16 Logic 1 Service 4 The steps in the order they run, from what starts it. - 1 **Slack Trigger** Slack trigger *Starts it* - 2 **Azure OpenAI Chat Model1** Lm Chat Azure Open Ai *Model* - 3 **Embeddings Azure OpenAI2** Embeddings Azure Open Ai *Model* - 4 **Get row(s) in sheet in Google Sheets** Google Sheets Tool *Service* - 5 **Reranker Cohere1** Reranker Cohere *Model* - 6 **Structured Output Parser1** Output Parser Structured *Model* - 7 **Embeddings Azure OpenAI5** Embeddings Azure Open Ai *Model* - 8 **Reranker Cohere3** Reranker Cohere *Model* - 9 **Azure OpenAI Chat Model3** Lm Chat Azure Open Ai *Model* - 10 **Structured Output Parser2** Output Parser Structured *Model* - 11 **Azure OpenAI Chat Model** Lm Chat Azure Open Ai *Model* - 12 **Structured Output Parser** Output Parser Structured *Model* - 13 **AI Agent** Agent *Model* - 14 **AI Agent1** Agent *Model* - 15 **Pinecone Vector Store2** Vector Store Pinecone *Model* - 16 **Pinecone Vector Store5** Vector Store Pinecone *Model* - 17 **AI Agent3** Agent *Model* - 18 **Auto-fixing Output Parser** Output Parser Autofixing *Model* - 19 **Download file** Google Drive *Service* - 20 **Edit Fields** Set *Logic* - 21 **Extract from File** Extract From File *Service* - 22 **Send a message** Slack *Service* ## How it's built - **Starts on:** An event in a connected app - **Steps:** 22 - **Size:** Large: read it before trusting it with anything live - **Connects to:** Google Drive, Google Sheets, Pinecone, Slack - **Model:** Azure OpenAI - **Retrieval:** Answers are drawn from documents you supply, not from the model alone ## Questions What does it need to run? An n8n account, plus your own Google Drive, Google Sheets, Pinecone and Slack accounts, and a key for Azure OpenAI. You connect your own accounts after importing it; none are included. What starts it? It starts on an event in a connected app. Does it use AI? Yes. It calls Azure OpenAI. Its answers draw on documents you give it, not on the model alone. Model calls are billed by the provider, not by n8n. How long does it take to set up? Take your time. At 22 steps it is large: read it before trusting it with anything live. How do I import it? Copy the workflow, open a new workflow in n8n and paste. The steps appear on the canvas, ready for your own accounts. **Before you run it** Nothing here has been tested by us. It is somebody's working automation, read and described from its own steps. Treat the connections it wants as a list of accounts it will touch, and read the 22 steps before you point it at anything that matters. ## Run it in n8n - **Create your n8n account** Free to start. n8n is where the workflow runs. [Create an n8n account ↗](https://millionrounds.com/n8n) - **Download the workflow** Free with a Millionrounds account. [Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fgenerate-contextual-recommendations-from-slack-with-pinecone) - **Paste it into n8n** Open a new workflow in n8n and paste. Then connect your own accounts. Stored with the author's traces removed: canvas notes, instance identifiers, saved credential names and any live document they had left behind. ## Connects to Each opens the other workflows that use it. [Google Drive](https://millionrounds.com/workflows?service=Google+Drive#library)[Google Sheets](https://millionrounds.com/workflows?service=Google+Sheets#library)[Pinecone](https://millionrounds.com/workflows?service=Pinecone#library)[Slack](https://millionrounds.com/workflows?service=Slack#library) ## Workflows like it Also chat assistants, with the same services where possible, closest in size first. - [**AI agent - RAG Telegram chatbot n8n with OpenAI** 22 steps · calls a model · Google Drive, Supabase vectors](https://millionrounds.com/workflow/ai-agent-rag-telegram-chatbot-n8n-with-openai) - [**Audit browser and proxy fingerprint/IP integrity with OpenAI** 22 steps · calls a model · Google Sheets, Slack](https://millionrounds.com/workflow/audit-browser-and-proxy-fingerprint-ip-integrity-with-openai) - [**Audit landing page conversions with DeepSeek and Google Sheets** 22 steps · calls a model · Gmail, Google Sheets](https://millionrounds.com/workflow/audit-landing-page-conversions-with-deepseek-and-google-shee) - [**Complete business WhatsApp AI-powered RAG chatbot with OpenAI** 22 steps · calls a model · Google Drive, Qdrant](https://millionrounds.com/workflow/complete-business-whatsapp-ai-powered-rag-chatbot-with-opena) - [**Detect and remediate leaked secret on repo with GitHub and AWS** 22 steps · calls a model · Jira, Slack](https://millionrounds.com/workflow/detect-and-remediate-leaked-secret-on-repo-with-github-and-a) - [**Detect multi-source transaction fraud and reconcile finances** 22 steps · calls a model · Gmail, Postgres](https://millionrounds.com/workflow/detect-multi-source-transaction-fraud-and-reconcile-finances)